| Patent application number | Description | Published |
|---|
| 20100049516 | METHOD OF USING MICROPHONE CHARACTERISTICS TO OPTIMIZE SPEECH RECOGNITION PERFORMANCE - A system and method for tuning a speech recognition engine to an individual microphone using a database containing acoustical models for a plurality of microphones. Microphone performance characteristics are obtained from a microphone at a speech recognition engine, the database is searched for an acoustical model that matches the characteristics, and the speech recognition engine is then modified based on the matching acoustical model. | 02-25-2010 |
| 20110010171 | Singular Value Decomposition for Improved Voice Recognition in Presence of Multi-Talker Background Noise - A system and method for providing speech recognition functionality offers improved accuracy and robustness in noisy environments having multiple speakers. The described technique includes receiving speech energy and converting the received speech energy to a digitized form. The digitized speech energy is decomposed into features that are then projected into a feature space having multiple speaker subspaces. The projected features fall either into one of the multiple speaker subspaces or outside of all speaker subspaces. A speech recognition operation is performed on a selected one of the multiple speaker subspaces to resolve the utterance to a command or data. | 01-13-2011 |
| 20110046953 | METHOD OF RECOGNIZING SPEECH - A method for recognizing speech involves reciting, into a speech recognition system, an utterance including a numeric sequence that contains a digit string including a plurality of tokens and detecting a co-articulation problem related to at least two potentially co-articulated tokens in the digit string. The numeric sequence may be identified using i) a dynamically generated possible numeric sequence that potentially corresponds with the numeric sequence, and/or ii) at least one supplemental acoustic model. Also disclosed herein is a system for accomplishing the same. | 02-24-2011 |
| 20110125500 | AUTOMATED DISTORTION CLASSIFICATION - A method of and system for automated distortion classification. The method includes steps of (a) receiving audio including a user speech signal and at least some distortion associated with the signal; (b) pre-processing the received audio to generate acoustic feature vectors; (c) decoding the generated acoustic feature vectors to produce a plurality of hypotheses for the distortion; and (d) post-processing the plurality of hypotheses to identify at least one distortion hypothesis of the plurality of hypotheses as the received distortion. The system can include one or more distortion models including distortion-related acoustic features representative of various types of distortion and used by a decoder to compare the acoustic feature vectors with the distortion-related acoustic features to produce the plurality of hypotheses for the distortion. | 05-26-2011 |
| 20110250933 | METHOD OF CONTROLLING DIALING MODES IN A VEHICLE - A dialing mode of a telematics unit in a vehicle is controlled by monitoring for dialing digits from a vehicle occupant, determining whether the type of dialing digits are continuous dialing digits or discrete dialing digits, establishing a continuous mode for receiving continuous dialing digits or a discrete mode for receiving discrete dialing digits based on the determination, and if the type of dialing digits changes, switching the established mode. | 10-13-2011 |
| 20110282663 | TRANSIENT NOISE REJECTION FOR SPEECH RECOGNITION - A method of and system for transient noise rejection for improved speech recognition. The method comprises the steps of (a) receiving audio including user speech and at least some transient noise associated with the speech, (b) converting the received audio into digital data, (c) segmenting the digital data into acoustic frames, and (d) extracting acoustic feature vectors from the acoustic frames. The method also comprises the steps of (e) evaluating the acoustic frames for transient noise on a frame-by-frame basis, (f) rejecting those acoustic frames having transient noise, (g) accepting as speech frames those acoustic frames having no transient noise and, thereafter, (h) recognizing the user speech using the speech frames. | 11-17-2011 |
| 20110282668 | SPEECH ADAPTATION IN SPEECH SYNTHESIS - A method of and system for speech synthesis. First and second text inputs are received in a text-to-speech system, and processed into respective first and second speech outputs corresponding to stored speech respectively from first and second speakers using a processor of the system. The second speech output of the second speaker is adapted to sound like the first speech output of the first speaker. | 11-17-2011 |
| 20120109649 | SPEECH DIALECT CLASSIFICATION FOR AUTOMATIC SPEECH RECOGNITION - Automatic speech recognition including receiving speech via a microphone, pre-processing the received speech to generate acoustic feature vectors, classifying dialect of the received speech, selecting at least one of an acoustic model or a lexicon specific to the classified dialect, decoding the acoustic feature vectors using a processor and at least one of the selected dialect-specific acoustic model or selected lexicon to produce a plurality of hypotheses for the received speech, and post-processing the plurality of hypotheses to identify one of the plurality of hypotheses as the received speech. | 05-03-2012 |
