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2215 results about "Speech identification" patented technology

Speech ID helps protect the authenticity and accuracy of speech by helping the hearing aid to prioritize conversation in difficult listening situations. This feature works to isolate the unique frequencies associated with various letters and words and helps maintain the crispness of conversation. Acuity Directionality.

System and method for automating transcription services

A system for substantially automating transcription services for multiple voice users including a manual transcription station, a speech recognition program and a routing program. The system establishes a profile for each of the voice users containing a training status which is selected from the group of enrollment, training, automated and stop automation. When the system receives a voice dictation file from a current voice user based on the training status the system routes the voice dictation file to a manual transcription station and the speech recognition program. A human transcriptionist creates transcribed files for each received voice dictation files. The speech recognition program automatically creates a written text for each received voice dictation file if the training status of the current user is training or automated. A verbatim file is manually established if the training status of the current user is enrollment or training and the speech recognition program is trained with an acoustic model for the current user using the verbatim file and the voice dictation file if the training status of the current user is enrollment or training. The transcribed file is returned to the current user if the training status of the current user is enrollment or training or the written text is returned if the training status of the current user is automated. An apparatus and method is also disclosed for simplifying the manual establishment of the verbatim file. A method for substantially automating transcription services is also disclosed.
Owner:CUSTOM SPEECH USA +1

Method and apparatus for training a multilingual speech model set

The invention relates to a method and apparatus for training a multilingual speech model set. The multilingual speech model set generated is suitable for use by a speech recognition system for recognizing spoken utterances for at least two different languages. The invention allows using a single speech recognition unit with a single speech model set to perform speech recognition on utterances from two or more languages. The method and apparatus make use of a group of a group of acoustic sub-word units comprised of a first subgroup of acoustic sub-word units associated to a first language and a second subgroup of acoustic sub-word units associated to a second language where the first subgroup and the second subgroup share at least one common acoustic sub-word unit. The method and apparatus also make use of a plurality of letter to acoustic sub-word unit rules sets, each letter to acoustic sub-word unit rules set being associated to a different language. A set of untrained speech models is trained on the basis of a training set comprising speech tokens and their associated labels in combination with the group of acoustic sub-word units and the plurality of letter to acoustic sub-word unit rules sets. The invention also provides a computer readable storage medium comprising a program element for implementing the method for training a multilingual speech model set.
Owner:RPX CLEARINGHOUSE

Method and apparatus for providing unsupervised adaptation of phonetic transcriptions in a speech recognition dictionary

InactiveUS6208964B1Improve task adaptabilitySpeech recognitionSpeech identificationSpeech sound
An adaptive speech recognition system is provided including an input for receiving a signal derived from a spoken utterance indicative of a certain vocabulary item, a speech recognition dictionary, a speech recognition unit and an adaptation module. The speech recognition dictionary has a plurality of vocabulary items each being associated to a respective dictionary transcription group. The speech recognition unit is in an operative relationship with the speech recognition dictionary and selects a certain vocabulary item from the speech recognition dictionary as being a likely match to the signal received at the input. The results of the speech recognition process are provided to the adaptation module. The adaptation module includes a transcriptions bank having a plurality of orthographic groups, each including a plurality of transcriptions associated with a common vocabulary item. A transcription selector module in the adaptation module retrieves a given orthographic group from the transcriptions bank on a basis of the vocabulary item recognized by the speech recognition unit. The transcription selector module processes the given orthographic group on the basis of the signal received at the input to select a certain transcription from the transcriptions bank. The adaptation module then modifies a dictionary transcription group corresponding to the vocabulary item selected as being a likely match to the signal received at the input on the basis of the selected certain transcription.
Owner:AVAYA INC

Exception dictionary creating unit, exception dictionary creating method, and program therefor, as well as speech recognition unit and speech recognition method

An exception dictionary creating device, an exception dictionary creating method, and a program therefor allowing creating an exception dictionary are provided for affording high speech recognition performance while reducing the size of the exception dictionary, as well as a speech recognition device and a speech recognition method capable of recognizing a speech with high accuracy of recognition by using the exception dictionary. To achieve this, a text-to-phonetic symbol converting unit (21) of an exception dictionary creating device (10) creates converted phonetic symbol sequence by converting text sequence of vocabulary list data (21) into phonetic symbol sequence. A recognition degradation contribution degree calculating unit (24) calculates a recognition degradation contribution degree when the converted phonetic symbol sequence is not identical to a correct phonetic symbol sequence registered in a database or word dictionary (50). An exception dictionary registering unit (41) registers in the exception dictionary (60) the text sequence and the phonetic symbol sequence registered in the text sequence of the vocabulary list data (12) with a high degree of recognition degradation contribution degree to the recognition so as not to exceed data limitation capacity indicated by exception dictionary memory size content (71).
Owner:ASAHI KASEI KK
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