CLASS 704, DATA PROCESSING: SPEECH SIGNAL PROCESSING, LINGUISTICS, LANGUAGE TRANSLATION, AND AUDIO COMPRESSION/DECOMPRESSION |
1 | LINGUISTICS: |
This subclass is indented under the class definition. Subject matter including means or steps for constructing
a word, a phrase, or a sentence in a language.
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2 | . Translation machine: |
This subclass is indented under subclass 1. Subject matter wherein a language (i.e., source language) stored in a memory
means is translated into another language (i.e., target language).
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3 | .. Having particular Input/Output device: |
This subclass is indented under subclass 2. Subject matter wherein the translation machine includes
a means for reading into the memory means a language, for
pronouncing the translated language or
a particular user interface.
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4 | .. Based on phrase, clause, or idiom: |
This subclass is indented under subclass 2. Subject matter wherein the translation machine translates a series of words that form a syntactical unit. | |
5 | .. For partial translation: |
This subclass is indented under subclass 2. Subject matter wherein the translation machine includes a means for providing translation for a specified portion of a sentence or a clause. | |
6 | .. Punctuation: |
This subclass is indented under subclass 2. Subject matter wherein the translation machine translates a compound word formed by hyphenation or sentences with quotation marks, colons, semicolons, or parentheses. | |
7 | .. Storage or retrieval of data: |
This subclass is indented under subclass 2. Subject matter including a means for assigning storage locations
or accessing addresses to the memory means.
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8 | . Multilingual or national language support: |
This subclass is indented under subclass 1. Subject matter including means or steps to adapt to, process, or
support plural languages in systems
or in software (i.e., providing language identifiers on files or providing
screen prompts in a selected language), or
to support the conventions or peculiarities of various national languages (i.e., alphabetical
ordering, date or currency indications).
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9 | . Natural language: |
This subclass is indented under subclass 1. Subject matter includes a means for applying grammatical
rules or other analyses (e.g., morphemic, syntax, semantic, etc.) to
define the true meaning of a sentence or phrase.
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10 | . Dictionary building, modification, or prioritization: |
This subclass is indented under subclass 1. Subject matter including a construction, a change, or
an orderly arrangement of dictionary, thesauri, or
the like.
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200 | SPEECH SIGNAL PROCESSING: |
This subclass is indented under the class definition. Subject matter wherein the system performs operations or
functions on signals which represent speech.
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200.1 | . Psychoacoustic |
This subclass is indented under subclass 200. Subject matter wherein an operation on the signal is based
upon the masking behavior of the human auditory system.
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201 | . For storage or transmission: |
This subclass is indented under subclass 200. Subject matter wherein the speech, which may be in coded or reduced formats, is stored or transmitted. | |
202 | .. Neural networks: |
This subclass is indented under subclass 201. Subject matter wherein coding is performed using parallel
distributed processing elements constructed in hardware or simulated
in software.
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203 | .. Transformations: |
This subclass is indented under subclass 201. Subject matter wherein the speech is encoded using a specific mathematical function (e.g., Fourier, Walsh, cosine/sine transform, etc.). | |
204 | ... Orthogonal functions: |
This subclass is indented under subclass 203. Subject matter wherein the function is orthogonal (transformations as applied to vector, matrix, linear and polynomial functions, for example). | |
205 | .. Frequency: |
This subclass is indented under subclass 201. Subject matter wherein the speech is represented by frequency. | |
206 | ... Specialized information: |
This subclass is indented under subclass 205. Subject matter wherein the frequency data is analyzed to identify specific speech information. | |
207 | .... Pitch: |
This subclass is indented under subclass 206. Subject matter wherein the specific speech information represents the predominant frequency of the speech. | |
208 | ..... Voiced or unvoiced: |
This subclass is indented under subclass 207. Subject matter wherein the specific speech information represents the presence (voiced) or absence (unvoiced) of predominant frequency components. | |
209 | .... Formant: |
This subclass is indented under subclass 206. Subject matter wherein the specific speech information represents the frequency values of any of several resonance bands which determine the phonetic quality of a vowel sound. | |
210 | .... Silence decision: |
This subclass is indented under subclass 206. Subject matter wherein the specific speech information represent the presence or absence of speech. | |
211 | .. Time: |
This subclass is indented under subclass 201. Subject matter wherein the speech signal is represented using time (e.g., time measurements and energy measured over time). | |
212 | ... Pulse code modulation (PCM): |
This subclass is indented under subclass 211. Subject matter wherein the signal is sampled over time, and the magnitude of each sample is quantized and converted into a digital signal. | |
213 | ... Zero crossing: |
This subclass is indented under subclass 211. Subject matter wherein the zero crossings of the signal are used to measure time or frequency. | |
214 | ... Voiced or unvoiced: |
This subclass is indented under subclass 211. Subject matter wherein time measurements are used to determine the presence (voiced) or absence (unvoiced) of predominant frequency components. | |
215 | ... Silence decision: |
This subclass is indented under subclass 211. Subject matter wherein time measurements are used to determine the presence or absence of speech (e.g., pauses between words, etc.). | |
216 | ... Correlation function: |
This subclass is indented under subclass 211. Subject matter wherein analysis of speech is performed using relationships between time series samples. | |
217 | .... Autocorrelation: |
This subclass is indented under subclass 216. Subject matter wherein the relationships are between different speech samples taken from the same time series. | |
218 | .... Cross-correlation: |
This subclass is indented under subclass 216. Subject matter wherein the relationships are between speech samples taken from different time series. | |
219 | .. Linear prediction: |
This subclass is indented under subclass 201. Subject matter wherein input samples of speech are estimated from past samples of an input sequence. | |
220 | .. Analysis by synthesis: |
This subclass is indented under subclass 201. Subject matter wherein the speech signal is coded and corrected by the difference of the decoded coded signal from the original speech signal. | |
221 | .. Pattern matching vocoders: |
This subclass is indented under subclass 201. Subject matter wherein speech signals are compared and matching patterns are encoded. | |
222 | ... Vector quantization: |
This subclass is indented under subclass 221. Subject matter wherein the encoding maps a sequence of continuous or discrete vectors into a digital sequence. | |
223 | ... Excitation patterns: |
This subclass is indented under subclass 221. Subject matter wherein the encoding models speech using representations including the primary frequency period or periods (e.g., pitchexcitation, multipulse excitation, etc.). | |
224 | .. Normalizing: |
This subclass is indented under subclass 201. Subject matter wherein modifications of the speech signal emphasize or deemphasize certain features (e.g., spectral slope, average power, etc.). | |
225 | .. Gain control: |
This subclass is indented under subclass 201. Subject matter wherein the speech is adjusted to maintain an average amplitude. | |
226 | .. Noise: |
This subclass is indented under subclass 201. Subject matter wherein the coding reduces the effects of undesired signal components. | |
227 | ... Pre-transmission: |
This subclass is indented under subclass 226. Subject matter wherein the coding precedes transmission. | |
228 | ... Post-transmission: |
This subclass is indented under subclass 226. Subject matter wherein decoding after transmission minimizes the effects of noise in the transmission path. | |
229 | .. Adaptive bit allocation: |
This subclass is indented under subclass 201. Subject matter wherein limited storage or transmission resources are allocated by giving more resources to areas containing more data and giving fewer resources to areas containing less data. | |
230 | .. Quantization: |
Subject matter under 201 wherein coded information is mapped into digital words described by binary symbols. | |
231 | . Recognition: |
This subclass is indented under subclass 200. Subject matter wherein speech is separated into discrete components which are distinguished from one another. | |
232 | .. Neural networks: |
This subclass is indented under subclass 231. Subject matter using parallel distributed processing elements constructed in hardware or simulated in software. | |
233 | .. Detect speech in noise: |
This subclass is indented under subclass 231. Subject matter wherein the discrete components are distinguished from noise. | |
234 | .. Normalizing: |
This subclass is indented under subclass 231. Subject matter wherein the discrete components are modified to emphasize or deemphasize certain features (e.g., spectral slope, average power, etc.). | |
235 | .. Speech to image: |
This subclass is indented under subclass 231. Subject matter wherein the distinguished discrete components are converted into image output (e.g., text). | |
236 | .. Specialized equations or comparisons: |
This subclass is indented under subclass 231. Subject matter wherein the discrete components are distinguished using specific mathematical functions. | |
237 | ... Correlation: |
This subclass is indented under subclass 236. Subject matter wherein the specific function measures a correlation between discrete components (e.g., absolute magnitude difference functions (AMDF), autocorrelation, cross-correlation, etc.). | |
238 | ... Distance: |
This subclass is indented under subclass 236. Subject matter wherein the specific function measures the difference between discrete components. | |
239 | ... Similarity: |
This subclass is indented under subclass 236. Subject matter wherein the specific function measures the similarity between discrete components. | |
240 | ... Probability: |
This subclass is indented under subclass 236. Subject matter wherein the specific function uses probability to determine the occurrence of a discrete component. | |
241 | ... Dynamic time warping: |
This subclass is indented under subclass 236. Subject matter wherein time components of the discrete components are aligned with reference components (e.g., using dynamic programming). | |
242 | ... Viterbi Trellis: |
This subclass is indented under subclass 236. Subject matter wherein discrete components are distinguished by traversing possible paths through a time series. | |
243 | .. Creating patterns for matching: |
This subclass is indented under subclass 231. Subject matter including specific methods for registering the discrete components to be used as references. | |
244 | ... Update patterns: |
This subclass is indented under subclass 243. Subject matter wherein the references are modified to improve recognition (e.g., learning). | |
245 | ... Clustering: |
This subclass is indented under subclass 243. Subject matter wherein similar references are placed or divided into groups (e.g., K-means algorithm, nearest neighbor, etc.). | |
246 | .. Voice recognition: |
This subclass is indented under subclass 231. Subject matter wherein different voices are distinguished (e.g., speaker identification or verification). | |
247 | ... Preliminary matching: |
This subclass is indented under subclass 246. Subject matter using an initial comparison followed by a more detailed recognition. | |
248 | ... Endpoint detection: |
This subclass is indented under subclass 246. Subject matter including the identification of the beginning and ending points of speech sound segments. | |
249 | ... Subportions: |
This subclass is indented under subclass 246. Subject matter including separating speech into sound segments (e.g., utterances, words, phonemes, allophones, etc.). | |
250 | ... Specialized models: |
This subclass is indented under subclass 246. Subject matter including models which describe the interconnections between speech sound segments. | |
251 | .. Word recognition: |
This subclass is indented under subclass 231. Subject matter wherein different words are distinguished (i.e., the meaning of what is spoken). | |
252 | ... Preliminary matching: |
This subclass is indented under subclass 251. Subject matter using an initial comparison followed by a more detailed recognition. | |
253 | ... Endpoint detection: |
This subclass is indented under subclass 251. Subject matter identifying the beginning and ending points of words. | |
254 | ... Subportions: |
This subclass is indented under subclass 251. Subject matter identifying speech sound segments (e.g., phonemes, allophones, etc.). | |
255 | ... Specialized models: |
This subclass is indented under subclass 251. Subject matter including models which describe the interconnections between words or subportions of words. | |
256 | .... Markov: |
This subclass is indented under subclass 255. Subject matter wherein the models include states which represent speech sound portions and transitions which represent connections between speech sound portions (e.g., hidden Markov models, heuristic Markov models, etc.). | |
256.1 | ..... Hidden Markov Model (HMM) (EPO): |
This subclass is indented under subclass 256. Subject matter wherein a Markov chain used in the recognition
process has un-observable (hidden) states.
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256.2 | ...... Training of HMM (EPO): |
This subclass is indented under subclass 256.1. Subject matter wherein the models include a learning
process for recognizing speech data, e.g., the
construction of a library of models for the words in a vocabulary, including
the states.
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256.3 | ....... With insufficient amount of training data, e.g., state sharing, tying, and deleted interpolation (EPO): |
This subclass is indented under subclass 256.2. Subject matter wherein intrinsic parameters of the HMM are
modified to overcome lack of training data, and to simplify
the model, e.g., state sharing, tying, and
deleted interpolation.
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256.4 | ...... Duration modeling in HMM, e.g., semi HMM, segmental models, transition probabilities (EPO): |
This subclass is indented under subclass 256.1. Subject matter wherein the HMM includes a duration state
model for speech recognition, e.g., semi
HMM’s segmental models, and transition probabilities.
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256.5 | ...... Hidden Markov (HM) Network (EPO): |
This subclass is indented under subclass 256.1. Subject matter including a HMM structure wherein subgroups
of HMM types are used to perform speech recognition.
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256.6 | ...... State Emission Probability (EPO): |
This subclass is indented under subclass 256.1. Subject matter wherein the HMM contains probability density
function such that an emission probability is calculated for each
state within the model.
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256.7 | ....... Continuous density, e.g., Gaussian distribution, Laplace (EPO): |
This subclass is indented under subclass 256.6. Subject matter wherein the HMM contains continuous probability
density observation models for the purpose of avoiding possible signal
degradation inherent with discrete representations of signals.
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256.8 | ....... Discrete density, e.g., Vector Quantization preprocessor, look up tables (EPO): |
This subclass is indented under subclass 256.6. Subject matter wherein the HMM contains discrete probability
density observation models which allows for the use of a discrete
probability density within each state of the model.
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257 | .... Natural language: |
This subclass is indented under subclass 255. Subject matter wherein the models include grammatical constraints (e.g., syntax, etc.). | |
258 | . Synthesis: |
This subclass is indented under subclass 200. Subject matter wherein component parts of a speech signal are combined to produce a synthetic speech output. | |
259 | .. Neural networks: |
This subclass is indented under subclass 258. Subject matter wherein synthetic speech output is formed using parallel distributed processing elements constructed in hardware or simulated in software. | |
260 | .. Image to speech: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are related to image data (e.g., text to speech, etc.). | |
261 | .. Vocal tract model: |
This subclass is indented under subclass 258. Subject matter wherein the component parts model a human vocal tract. | |
262 | .. Linear prediction: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are represented by coefficients derived from a sequence of past speech samples. | |
263 | .. Correlation: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are represented by coefficients derived from relationships between time series speech samples. | |
264 | .. Excitation: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are represented by the period of the primary frequency of the speech signal (e.g., pitchexcitation, multi-pulse excitation, etc.). | |
265 | .. Interpolation: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are combined using estimates of intermediate values (e.g., waveform smoothing). | |
266 | .. Specialized model: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are combined or linked together in a defined manner (e.g., Markov models, trees, tries (tables representing trees), graphs, etc.). | |
267 | .. Time element: |
This subclass is indented under subclass 258. Subject matter wherein the component parts comprise time based elements (e.g., words, phonemes, allophones, etc.). | |
268 | .. Frequency element: |
This subclass is indented under subclass 258. Subject matter wherein the component parts comprise frequency based elements (e.g., pitch variations, inflection, formants, etc.). | |
269 | .. Transformation: |
This subclass is indented under subclass 258. Subject matter wherein the component parts are restored to speech using specific mathematical functions (e.g., Fourier, Walsh, Hilbert, Z-transform, cosine/sine transforms, etc.). | |
270 | . Application: |
This subclass is indented under subclass 200. Subject matter intended or designed for a specified use to which the speech signal processing is being applied. | |
270.1 | .. Speech assisted network |
This subclass is indented under subclass 270. Subject matter wherein a system that employs speech recognition
or synthesis to control or to provide user feedback such that the
processing of speech data may occur at various levels within a computer
network.
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271 | .. Handicap aid: |
This subclass is indented under subclass 270. Subject matter for assisting handicapped people (e.g., blind or speech impaired communication and control). | |
272 | .. Novelty item: |
This subclass is indented under subclass 270. Subject matter for novelty items (e.g., greeting cards, toys, etc.). | |
273 | .. Security system: |
This subclass is indented under subclass 270. Subject matter for providing security (e.g., limited access).
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274 | .. Warning/alarm system: |
This subclass is indented under subclass 270. Subject matter for providing an audible warning or alarm (e.g., multiple sensors, car gauges, etc.). | |
275 | .. Speech controlled system: |
This subclass is indented under subclass 270. Subject matter for controlling specific devices through speech or voice commands. | |
276 | .. Pattern display: |
This subclass is indented under subclass 270. Subject matter for providing visual output representing speech (e.g., computer displays of speech data). | |
277 | .. Translation: |
This subclass is indented under subclass 270. Subject matter for translating one language into another language. | |
278 | .. Sound editing: |
This subclass is indented under subclass 270. Subject matter wherein speech is edited using waveform portions or other representations of the sounds to be modified. | |
500 | AUDIO SIGNAL BANDWIDTH COMPRESSION OR EXPANSION: |
This subclass is indented under the class definition. Subject matter where there is either an expansion or reduction
of the bandwidth required for transmission of a sound signal.
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501 | . With content reduction encoding: |
This subclass is indented under subclass 500. Subject matter combined with means to discard and replace
redundant information by a code indicating what has been discarded.
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502 | . Delay line: |
This subclass is indented under subclass 500. Subject matter having means to cause a time delay of a sound
signal.
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503 | AUDIO SIGNAL TIME COMPRESSION OR EXPANSION (E.G., RUN LENGTH CODING): |
This subclass is indented under the class definition. Subject matter where there is either an expansion or reduction
of the time required for transmission of a nonspeech sound
signal.
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504 | . With content reduction encoding |
This subclass is indented under subclass 503. Subject matter combined with means to discard and replace
redundant information by a code indicating what has been discarded.
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E17.001 | SPEAKER IDENTIFICATION OR VERIFICATION (EPO): |
This main group provides for processes and apparatus for recognizing special voice characteristics, systems using speaker recognizers and details of speaker identification or verification processes or apparatus. This subclass is substantially the same in scope as ECLA classification G10L17/00. | |
E17.002 | . Recognition of special voice characteristics, e.g., for use in a lie detector; recognition of animal voices, etc. (EPO): |
This subclass is indented under subclass E17.001. This subclass is substantially the same in scope as ECLA classification G10L17/00C. | |
E17.003 | . Systems using speaker recognizers (EPO): |
This subclass is indented under subclass E17.001. This subclass is substantially the same in scope as ECLA classification G10L17/00U. | |
E17.004 | . Details (EPO): |
This subclass is indented under subclass E17.001. This subclass is substantially the same in scope as ECLA classification G10L17/00B2. | |
E17.005 | .. Preprocessing operations, e.g., segment selection, etc.; pattern representation or modeling, e.g. based on linear discriminant analysis (LDA), principal components, etc.; feature selection or extraction (EPO): |
This subclass is indented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B2. | |
E17.006 | .. Training, model building, enrollment (EPO): |
This subclass is in dented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B6. | |
E17.007 | .. Decision making techniques, pattern matching strategies (EPO): |
This subclass is in dented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B8. | |
E17.008 | ... Use of particular distance or distortion metric between probe pattern and reference templates (EPO): |
This subclass is indented under subclass E17.007. This subclass is substantially the same in scope as ECLA classification G10L17/00B8D. | |
E17.009 | ... Multimodal systems, i.e., based on the integration of multiple recognition engines or experts fusion (EPO): |
This subclass is indented under subclass E17.007. This subclass is substantially the same in scope as ECLA classification G10L17/00B8M. | |
E17.01 | ... Score normalization (EPO): |
This subclass is indented under subclass E17.007. This subclass is substantially the same in scope as ECLA classification G10L17/00B8N. | |
E17.011 | ... Use of phonemic categorization or speech recognition prior to speaker recognition or verification (EPO): |
This subclass is indented under subclass E17.007. This subclass is substantially the same in scope as ECLA classification G10L17/00B8P. | |
E17.012 | .. Hidden Markov Models (HMMs) (EPO): |
This subclass is in dented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B14. | |
E17.013 | .. Artificial neural networks, connectionist approaches (EPO): |
This subclass is in dented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B16. | |
E17.014 | .. Pattern transformations and operations aimed at increasing system robustness, e.g., against channel noise, different working conditions, etc. (EPO): |
This subclass is in dented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B20. | |
E17.015 | .. Interactive procedures, man-machine interface (EPO): |
This subclass is in dented under subclass E17.004. This subclass is substantially the same in scope as ECLA classification G10L17/00B22. | |
E17.016 | ... User prompted to utter a password or predefined text (EPO): |
This subclass is indented under subclass E17.015. This subclass is substantially the same in scope as ECLA classification G10L17/00B22P. | |
E15.001 | SPEECH RECOGNITION (EPO): |
This main group provides for processes, systems, and apparatus for the recognition of speech, including training of speech recognition systems, language recognition, speech classification and search, speech-to-text systems, and evaluation or assessment of speech recognition systems. This subclass is substantially the same in scope as ECLA classification G10L15/00. | |
E15.002 | . Assessment or evaluation of speech recognition systems (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/00A. | |
E15.003 | . Language recognition (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/00L. | |
E15.004 | . Feature extraction for speech recognition; selection of recognition unit (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/02. | |
E15.005 | . Segmentation or word limit detection (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/04. | |
E15.006 | .. Word boundary detection (EPO): |
This subclass is indented under subclass E15.005. This subclass is substantially the same in scope as ECLA classification G10L15/04W. | |
E15.007 | . Creation of reference templates; training of speech recognition systems, e.g., adaptation to the characteristics of the speaker’s voice, etc. (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/06. | |
E15.008 | .. Training (EPO): |
This subclass is indented under subclass E15.007. This subclass is substantially the same in scope as ECLA classification G10L15/06T. | |
E15.009 | .. Adaptation (EPO): |
This subclass is indented under subclass E15.007. This subclass is substantially the same in scope as ECLA classification G10L15/06A. | |
E15.01 | ... In the frequency domain (EPO): |
This subclass is indented under subclass E15.009. This subclass is substantially the same in scope as ECLA classification G10L15/06A1. | |
E15.011 | ... To speaker (EPO): |
This subclass is indented under subclass E15.009. This subclass is substantially the same in scope as ECLA classification G10L15/06A3. | |
E15.012 | .... Supervised, i.e., under machine guidance (EPO): |
This subclass is indented under subclass E15.011. This subclass is substantially the same in scope as ECLA classification G10L15/06A3S. | |
E15.013 | .... Unsupervised (EPO): |
This subclass is indented under subclass E15.011. This subclass is substantially the same in scope as ECLA classification G10L15/06A3U. | |
E15.014 | . Speech classification or search (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/08. | |
E15.015 | .. Using distance or distortion measures between unknown speech and reference templates (EPO): |
This subclass is indented under subclass E15.014. This subclass is substantially the same in scope as ECLA classification G10L15/10. | |
E15.016 | .. Using dynamic programming techniques, e.g., Dynamic Time Warping (DTW), etc. (EPO): |
This subclass is indented under subclass E15.014. This subclass is substantially the same in scope as ECLA classification G10L15/12. | |
E15.017 | .. Using artificial neural networks (EPO): |
This subclass is indented under subclass E15.014. This subclass is substantially the same in scope as ECLA classification G10L15/16. | |
E15.018 | .. Using natural language modeling (EPO): |
This subclass is indented under subclass E15.014. This subclass is substantially the same in scope as ECLA classification G10L15/18. | |
E15.019 | ... Using context dependencies, e.g., language models, etc. (EPO): |
This subclass is indented under subclass E15.018. This subclass is substantially the same in scope as ECLA classification G10L15/18C. | |
E15.02 | .... Phonemic context, e.g., pronunciation rules, phonotactical constraints, phoneme n-grams, etc. (EPO): |
This subclass is indented under subclass E15.019. This subclass is substantially the same in scope as ECLA classification G10L15/18C1. | |
E15.021 | .... Grammatical context, e.g., disambiguation of the recognition hypotheses based on word sequence rules, etc. (EPO): |
This subclass is indented under subclass E15.019. This subclass is substantially the same in scope as ECLA classification G10L15/18C2. | |
E15.022 | ..... Formal grammars, e.g., finite state automata, context free grammars, word networks, etc. (EPO): |
This subclass is indented under subclass E15.021. This subclass is substantially the same in scope as ECLA classification G10L15/18C2F. | |
E15.023 | ..... Probabilistic grammars, e.g., word n-grams, etc. (EPO): |
This subclass is indented under subclass E15.021. This subclass is substantially the same in scope as ECLA classification G10L15/18C2S. | |
E15.024 | .... Semantic context, e.g., disambiguation of the recognition hypotheses based on word meaning, etc. (EPO): |
This subclass is indented under subclass E15.019. This subclass is substantially the same in scope as ECLA classification G10L15/18C3. | |
E15.025 | ... Using prosody or stress (EPO): |
This subclass is indented under subclass E15.018. This subclass is substantially the same in scope as ECLA classification G10L15/18P. | |
E15.026 | ... Parsing for meaning understanding (EPO): |
This subclass is indented under subclass E15.018. This subclass is substantially the same in scope as ECLA classification G10L15/18U. | |
E15.027 | .. Using statistical models, e.g., Hidden Marker Models (HMMs), etc. (EPO): |
This subclass is indented under subclass E15.014. This subclass is substantially the same in scope as ECLA classification G10L15/14. | |
E15.028 | ... Hidden Markov Models (HMMs) (EPO): |
This subclass is indented under subclass E15.027. This subclass is substantially the same in scope as ECLA classification G10L15/14M. | |
E15.029 | .... Training of Hidden Markov Models (HMMs) (EPO): |
This subclass is indented under subclass E15.028. This subclass is substantially the same in scope as ECLA classification G10L15/14M1. | |
E15.03 | ..... With insufficient amount of training data, e.g., state sharing, tying, deleted interpolation, etc. (EPO): |
This subclass is indented under subclass E15.029. This subclass is substantially the same in scope as ECLA classification G10L15/14M1S. | |
E15.031 | .... Duration modeling in Hidden Markov Models (HMMs), e.g., semi- HMM, segmental models, transition probabilities, etc. (EPO): |
This subclass is indented under subclass E15.028. This subclass is substantially the same in scope as ECLA classification G10L15/14M2. | |
E15.032 | .... Hidden Markov Models (HMMs) network (EPO): |
This subclass is indented under subclass E15.028. This subclass is substantially the same in scope as ECLA classification G10L15/14M3. | |
E15.033 | .... State emission probabilities (EPO): |
This subclass is indented under subclass E15.028. This subclass is substantially the same in scope as ECLA classification G10L15/14M4. | |
E15.034 | ..... Continuous densities, e.g., Gaussian distribution, Laplace, etc. (EPO): |
This subclass is indented under subclass E15.033. This subclass is substantially the same in scope as ECLA classification G10L15/14M4C. | |
E15.035 | ..... Discrete densities, e.g., Vector Quantization preprocessor, look-up tables, etc. (EPO): |
This subclass is indented under subclass E15.033. This subclass is substantially the same in scope as ECLA classification G10L15/14M4D. | |
E15.036 | ..... Neural Network (NN) as output probability estimator, e.g., hybrid HMM/NN, etc. (EPO): |
This subclass is indented under subclass E15.033. This subclass is substantially the same in scope as ECLA classification G10L15/14M4N. | |
E15.037 | ... Non-hidden Markov Model (EPO): |
This subclass is indented under subclass E15.027. This subclass is substantially the same in scope as ECLA classification G10L15/14N. | |
E15.038 | .. Recognition networks (EPO): |
This subclass is indented under subclass E15.014. This subclass is substantially the same in scope as ECLA classification G10L15/08N. | |
E15.039 | . Speech recognition techniques for robustness in adverse environments, e.g., in noise, of stress induced speech, etc. (EPO): |
This subclass is indented under subclass E15.001. This
subclass is substantially the same in scope as ECLA classification
G10L15/20.
SEE OR SEARCH THIS CLASS, SUBCLASS:
| |||
E15.04 | . Procedures used during a speech recognition process, e.g., man-machine dialogue, etc. (EPO): |
This subclass is in dented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/22. | |
E15.041 | . Speech recognition using nonacoustical features, e.g., position of the lips, etc. (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/24. | |
E15.042 | .. Using position of the lips, movement of the lips, or face analysis (EPO): |
This subclass is indented under subclass E15.041. This subclass is substantially the same in scope as ECLA classification G10L15/24L. | |
E15.043 | . Speech to text systems (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/26. | |
E15.044 | .. Speech recognition depending on application context, e.g., in a computer, etc. (EPO): |
This subclass is in dented under subclass E15.043. This subclass is substantially the same in scope as ECLA classification G10L15/26C. | |
E15.045 | .. Systems using speech recognizers (EPO): |
This subclass is indented under subclass E15.043. This subclass is substantially the same in scope as ECLA classification G10L15/26A. | |
E15.046 | . Constructional details of speech recognition systems (EPO): |
This subclass is indented under subclass E15.001. This subclass is substantially the same in scope as ECLA classification G10L15/28. | |
E15.047 | .. Distributed recognition, e.g., in client-server systems for mobile phones or network applications, etc. (EPO): |
This subclass is indented under subclass E15.046. This subclass is substantially the same in scope as ECLA classification G10L15/28D. | |
E15.048 | .. Memory allocation or algorithm optimization to reduce hardware requirements (EPO): |
This subclass is indented under subclass E15.046. This subclass is substantially the same in scope as ECLA classification G10L15/28H. | |
E15.049 | .. Multiple recognizers used in sequence or in parallel; corresponding voting or score combination systems (EPO): |
This subclass is indented under subclass E15.046. This subclass is substantially the same in scope as ECLA classification G10L15/28M. | |
E15.05 | .. Recognizers for parallel processing (EPO): |
This subclass is indented under subclass E15.046. This subclass is substantially the same in scope as ECLA classification G10L15/28P. | |
E19.001 | SPEECH OR AUDIO SIGNAL ANALYSIS-SYNTHESIS TECHNIQUES FOR REDUNDANCY REDUCTION, E.G., IN VOCODERS, ETC.; CODING OR DECODING OF SPEECH OR AUDIO SIGNALS; COMPRESSION OR EXPANSION OF SPEECH OR AUDIO SIGNALS, E.G., SOURCE-FILTER MODELS, PSYCHOACOUSTIC ANALYSIS, ETC. (EPO): |
This main group provides for processes and apparatus for
the coding, decoding, compression or expansion
of speech or audio signals, including techniques for redundancy
reduction, and psychoacoustic analysis. This subclass
is substantially the same in scope as ECLA classification G10L19/00.
SEE OR SEARCH THIS CLASS, SUBCLASS:
| |||
E19.002 | . Perceptual measures for quality assessment (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00A. | |
E19.003 | . Correction of errors induced by the transmission channel, if related to the coding (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00E. | |
E19.004 | . Lossless audio signal coding; perfect reconstruction of coded audio signal by transmission of coding error (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00L. | |
E19.005 | . Multichannel audio signal coding and decoding, i.e., using interchannel correlation to reduce redundancies, e.g., joint-stereo, intensity-coding, matrixing, etc. (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00M. | |
E19.006 | . Comfort noise, silence coding (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00N. | |
E19.007 | . Speech coding using phonetic or linguistical decoding of the source; reconstruction using text-to-speech synthesis (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00S. | |
E19.008 | . Systems using vocoders (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00U. | |
E19.009 | . Audio watermarking, i.e., embedding inaudible data in the audio signal (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00W. | |
E19.01 | . Using spectral analysis, e.g., transform vocoders, subband vocoders, perceptual audio coders, psychoacoustically based lossy encoding, etc., e.g., MPEG audio, Dolby AC-3, etc. (EPO): |
This subclass is indented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/02. | |
E19.011 | .. Blocking, i.e., grouping of samples in time, choice of analysis window, overlap factor (EPO): |
This subclass is in dented under subclass E19.01. This subclass is substantially the same in scope as ECLA classification G10L19/02B. | |
E19.012 | ... Detection of transients and attacks for time/ frequency resolution switching (EPO): |
This subclass is in dented under subclass E19.011. This subclass is substantially the same in scope as ECLA classification G10L19/02B1. | |
E19.013 | .. Noise substitution, i.e., substituting nontonal spectral components by noisy source (EPO): |
This subclass is in dented under subclass E19.01. This
subclass is substantially the same in scope as ECLA classification
G10L19/02N.
SEE OR SEARCH THIS CLASS, SUBCLASS:
| |||
E19.014 | .. Spectral prediction for pre-echo prevention; temporal noise shaping (TNS), e.g., in MPEG2 or MPEG4, etc. (EPO): |
This subclass is in dented under subclass E19.01. This subclass is substantially the same in scope as ECLA classification G10L19/02P. | |
E19.015 | .. Quantization or dequantization of spectral components (EPO): |
This subclass is in dented under subclass E19.01. This subclass is substantially the same in scope as ECLA classification G10L19/02Q. | |
E19.016 | ... Scalar quantization (EPO): |
This subclass is in dented under subclass E19.015. This subclass is substantially the same in scope as ECLA classification G10L19/02Q2. | |
E19.017 | ... Vector quantization, e.g., Twin-VQ audio, etc. (EPO): |
This subclass is in dented under subclass E19.015. This subclass is substantially the same in scope as ECLA classification G10L19/02Q4. | |
E19.018 | .. Using subband decomposition (EPO): |
This subclass is indented under subclass E19.01. This subclass is substantially the same in scope as ECLA classification G10L19/02S. | |
E19.019 | ... Subband vocoders (EPO): |
This subclass is in dented under subclass E19.018. This subclass is substantially the same in scope as ECLA classification G10L19/02S1. | |
E19.02 | .. Using orthogonal transformation (EPO): |
This subclass is in dented under subclass E19.01. This subclass is substantially the same in scope as ECLA classification G10L19/02T. | |
E19.021 | ... Using wavelet decomposition (EPO): |
This subclass is in dented under subclass E19.02. This subclass is substantially the same in scope as ECLA classification G10L19/02T2. | |
E19.022 | . Dynamic bit allocation (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/00B. | |
E19.023 | . Using predictive techniques; codecs based on source-filter modelization (EPO): |
This subclass is in dented under subclass E19.001. This subclass is substantially the same in scope as ECLA classification G10L19/04. | |
E19.024 | .. Determination or coding of the spectral characteristics, e.g., of the short-term prediction coefficients, etc. (EPO): |
This subclass is in dented under subclass E19.023. This subclass is substantially the same in scope as ECLA classification G10L19/06. | |
E19.025 | ... Line spectrum pair (LSP) vocoders (EPO): |
This subclass is in dented under subclass E19.024. This subclass is substantially the same in scope as ECLA classification G10L19/06L. | |
E19.026 | .. Determination or coding of the excitation function; determination or coding of the long-term prediction characteristics (EPO): |
This subclass is in dented under subclass E19.023. This subclass is substantially the same in scope as ECLA classification G10L19/08. | |
E19.027 | ... Determination or coding of an excitation gain (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/08G. | |
E19.028 | ... Using mixed excitation model, e.g., MELP, MBE, Split band LPC, HVXC , etc. (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/08M. | |
E19.029 | ... Long-term prediction, i.e., removing periodical redundancies, e.g., adaptive codebook, pitch predictor, etc. (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/08P. | |
E19.03 | ... Using sinusoidal excitation model (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/08S. | |
E19.031 | ... Using prototype waveform decomposition or waveform interpolative coders (PWI) (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/08W. | |
E19.032 | ... Determination or coding of a multipulse excitation (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/10. | |
E19.033 | .... Algebraic codebook; sparse pulse excitation (EPO): |
This subclass is in dented under subclass E19.032. This subclass is substantially the same in scope as ECLA classification G10L19/10A. | |
E19.034 | .... Regular pulse excitation (EPO): |
This subclass is indented under subclass E19. 032. This subclass is substantially the same in scope as ECLA classification G10L19/10R. | |
E19.035 | ... Determination or coding of a code excitation; code excited linear prediction (CELP) vocoders (EPO): |
This subclass is in dented under subclass E19.026. This subclass is substantially the same in scope as ECLA classification G10L19/12. | |
E19.036 | .... Pitch excitation, e.g., PSI-CELP (pitch synchronous innovation CELP), etc. (EPO): |
This subclass is in dented under subclass E19.035. This subclass is substantially the same in scope as ECLA classification G10L19/12P. | |
E19.037 | .... Residual excited linear prediction (RELP) (EPO): |
This subclass is in dented under subclass E19.035. This subclass is substantially the same in scope as ECLA classification G10L19/12R. | |
E19.038 | .... Vector sum excited linear prediction (VSELP) (EPO): |
This subclass is in dented under subclass E19.035. This subclass is substantially the same in scope as ECLA classification G10L19/12V. | |
E19.039 | .. Details of speech and audio coders (EPO): |
This subclass is indented under subclass E19.023. This subclass is substantially the same in scope as ECLA classification G10L19/14. | |
E19.04 | ... Vocoder architecture (EPO): |
This subclass is in dented under subclass E19.039. This subclass is substantially the same in scope as ECLA classification G10L19/14A. | |
E19.041 | .... Vocoders using multiple modes (EPO): |
This subclass is in dented under subclass E19.04. This subclass is substantially the same in scope as ECLA classification G10L19/14A1. | |
E19.042 | ..... Using sound class specific coding, hybrid encoders, object- based coding (EPO): |
This subclass is in dented under subclass E19.041. This subclass is substantially the same in scope as ECLA classification G10L19/14A1C. | |
E19.043 | ..... Mode decision, i.e., based on audio signal content versus external parameter (EPO): |
This subclass is in dented under subclass E19.041. This subclass is substantially the same in scope as ECLA classification G10L19/14A1D. | |
E19.044 | ..... Variable rate or variable quality codecs, e.g., scalable representation encoding, etc. (EPO): |
This subclass is in dented under subclass E19.041. This subclass is substantially the same in scope as ECLA classification G10L19/14A1R. | |
E19.045 | ... Pre- or post-filtering (EPO): |
This subclass is in dented under subclass E19.039. This subclass is substantially the same in scope as ECLA classification G10L19/14P. | |
E19.046 | .... Pre-filtering, e.g., high frequency emphasis prior to encoding, etc. (EPO): |
This subclass is in dented under subclass E19.045. This subclass is substantially the same in scope as ECLA classification G10L19/14P1. | |
E19.047 | .... Post-filtering, e.g., pitch enhancement, formant emphasis for decoder, etc. (EPO): |
This subclass is in dented under subclass E19.045. This subclass is substantially the same in scope as ECLA classification G10L19/14P2. | |
E19.048 | ... Audio streaming, i.e., formatting and decoding of an encoded audio signal (EPO): |
This subclass is in dented under subclass E19.039. This subclass is substantially the same in scope as ECLA classification G10L19/14S. | |
E19.049 | ... Transcoding, i.e., converting between two coded representations avoiding cascaded coding-decoding (EPO): |
This subclass is in dented under subclass E19.039. This subclass is substantially the same in scope as ECLA classification G10L19/14T. | |
E21.001 | MODIFICATION OF AT LEAST ONE CHARACTERISTIC OF SPEECH WAVES (EPO): |
This main group provides for processes and apparatus for modifying at least one characteristic of a speech signal. This subclass is substantially the same in scope as ECLA classification G10L21/00. | |
E21.002 | . Speech enhancement, e.g., noise reduction, echo cancellation, etc. (EPO): |
This subclass is in dented under subclass E21.001. This subclass is substantially the same in scope as ECLA classification G10L21/02. | |
E21.003 | .. Applications (EPO): |
This subclass is in dented under subclass E21.002. This subclass is substantially the same in scope as ECLA classification G10L21/02A. | |
E21.004 | ... Speech corrupted by noise (EPO): |
This subclass is in dented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A1. | |
E21.005 | .... Periodic noise (EPO): |
This subclass is in dented under subclass E21.004. This subclass is substantially the same in scope as ECLA classification G10L21/02A1N. | |
E21.006 | .... The noise being separate speech (EPO): |
This subclass is indented under subclass E21.004. This subclass is substantially the same in scope as ECLA classification G10L21/02A1S. | |
E21.007 | ... Speech corrupted by echo-reverberation (EPO): |
This subclass is in dented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A2. | |
E21.008 | ... Speech corrupted by stress-Lombard effect (EPO): |
This subclass is in dented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A3. | |
E21.009 | ... Enhancement of intelligibility of clean or coded speech (EPO): |
This subclass is in dented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A4. | |
E21.01 | .... Enhancement of diverse speech (EPO): |
This subclass is indented under subclass E21.009. This subclass is substantially the same in scope as ECLA classification G10L21/02A4D. | |
E21.011 | .... Bandwidth extension taking place at the receiving side, e.g., generation of low- or high-frequency components, regeneration of spectral holes, etc. (EPO): |
This subclass is indented under subclass E21.009. This subclass is substantially the same in scope as ECLA classification G10L21/02A4E. | |
E21.012 | ... Separate reconstruction of interference and of speech signal (EPO): |
This subclass is indented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A6. | |
E21.013 | .... The interference being a separate speaker (EPO): |
This subclass is in dented under subclass E21.012. This subclass is substantially the same in scope as ECLA classification G10L21/02A6S. | |
E21.014 | ... Active noise canceling (EPO): |
This subclass is in dented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A7. | |
E21.015 | ... Public address system (EPO): |
This subclass is in dented under subclass E21.003. This subclass is substantially the same in scope as ECLA classification G10L21/02A8. | |
E21.016 | .. Suppression or repetition of time signal segments (EPO): |
This subclass is indented under subclass E21.002. This subclass is substantially the same in scope as ECLA classification G10L21/02R. | |
E21.017 | . Time compression or expansion (EPO): |
This subclass is in dented under subclass E21.001. This subclass is substantially the same in scope as ECLA classification G10L21/04. | |
E21.018 | .. Suppression or repetition of time signal segments (EPO): |
This subclass is in dented under subclass E21.017. This subclass is substantially the same in scope as ECLA classification G10L21/04R. | |
E21.019 | . Transformation of speech into a nonaudible representation, e.g., speech visualization, speech processing for tactile aids, etc. (EPO): |
This subclass is in dented under subclass E21.001. This subclass is substantially the same in scope as ECLA classification G10L21/06. | |
E21.02 | .. Synchronization of speech with image or synthesis of the lips movement from speech, e.g., for "talking heads," etc. (EPO): |
This subclass is in dented under subclass E21.019. This subclass is substantially the same in scope as ECLA classification G10L21/06L. | |
E11.001 | MISCELLANEOUS ANALYSIS OR DETECTION OF SPEECH CHARACTERISTICS (EPO): |
This main group provides for processes and apparatus for analyzing or detecting speech characteristics not provided for elsewhere. This subclass is substantially the same in scope as ECLA classification G10L11/00. | |
E11.002 | . General speech analysis without concrete application (EPO): |
This subclass is indented under subclass E11.001. This subclass is substantially the same in scope as ECLA classification G10L11/00A. | |
E11.003 | . Detection of presence or absence of speech signals (EPO): |
This subclass is indented under subclass E11.001. This subclass is substantially the same in scope as ECLA classification G10L11/02. | |
E11.004 | .. Voice/data decision (EPO): |
This subclass is indented under subclass E11.003. This subclass is substantially the same in scope as ECLA classification G10L11/02D. | |
E11.005 | .. End point detection (EPO): |
This subclass is indented under subclass E11.003. This subclass is substantially the same in scope as ECLA classification G10L11/02E. | |
E11.006 | . Pitch determination of speech signals (EPO): |
This subclass is indented under subclass E11.001. This subclass is substantially the same in scope as ECLA classification G10L11/04. | |
E11.007 | . Voiced-unvoiced decision (EPO): |
This subclass is indented under subclass E11.001. This subclass is substantially the same in scope as ECLA classification G10L11/06. | |
E13.001 | SPEECH SYNTHESIS; TEXT TO SPEECH SYSTEMS (EPO): |
This main group provides for processes and apparatus for synthesizing speech. This subclass is substantially the same in scope as ECLA classification G10L13/00. | |
E13.002 | . Methods for producing synthetic speech; speech synthesizers (EPO): |
This subclass is indented under subclass E13.001. This subclass is substantially the same in scope as ECLA classification G10L13/02. | |
E13.003 | .. Concept-to-speech synthesizers; generation of natural phrases not from text but from machine-based concepts (EPO): |
This subclass is indented under subclass E13.002. This subclass is substantially the same in scope as ECLA classification G10L13/02C. | |
E13.004 | .. Sound editing, manipulating voice of the synthesizer (EPO): |
This subclass is indented under subclass E13.002. This subclass is substantially the same in scope as ECLA classification G10L13/02E. | |
E13.005 | . Details of speech synthesis systems, e.g., synthesizer architecture, memory management, etc. (EPO): |
This subclass is indented under subclass E13.001. This subclass is substantially the same in scope as ECLA classification G10L13/04. | |
E13.006 | .. Architecture of speech synthesizers (EPO): |
This subclass is indented under subclass E13.005. This subclass is substantially the same in scope as ECLA classification G10L13/04A. | |
E13.007 | .. Excitation (EPO): |
This subclass is in dented under subclass E13.005. This subclass is substantially the same in scope as ECLA classification G10L13/04E. | |
E13.008 | .. Systems using speech synthesizers (EPO): |
This subclass is indented under subclass E13.005. This subclass is substantially the same in scope as ECLA classification G10L13/04U. | |
E13.009 | . Elementary speech units used in speech synthesizers; concatenation rules (EPO): |
This subclass is indented under subclass E13.001. This subclass is substantially the same in scope as ECLA classification G10L13/06. | |
E13.01 | .. Concatenation (EPO): |
This subclass is indented under subclass E13.009. This subclass is substantially the same in scope as ECLA classification G10L13/06C. | |
E13.011 | . Text analysis, generation of parameters for speech synthesis out of text, e.g., grapheme to phoneme translation, prosody generation, stress, or intonation determination, etc. (EPO): |
This subclass is indented under subclass E13.001. This subclass is substantially the same in scope as ECLA classification G10L13/08. | |
E13.012 | .. Grapheme to phoneme, detection of language (EPO): |
This subclass is indented under subclass E13.011. This subclass is substantially the same in scope as ECLA classification G10L13/08G. | |
E13.013 | .. Prosody rules derived from text (EPO): |
This subclass is indented under subclass E13.011. This subclass is substantially the same in scope as ECLA classification G10L13/08P. | |
E13.014 | .. Stress or intonation (EPO): |
This subclass is indented under subclass E13.011. This subclass is substantially the same in scope as ECLA classification G10L13/08S. | |
FOR000 | CLASS-RELATED FOREIGN DOCUMENTS |
This subclass has no definition. | |