1
Laurence S Gillick, Joel M Gould, Robert Roth, Paul A van Mulbregt, Michael D Bibeault: Speech recognition language models. Dragon Systems, Fish & Richardson P C, December 26, 2000: US06167377 (147 worldwide citation)

Language model results are combined according to a combination expression to produce combined language model results for a set of candidates. A candidate is selected and the combination expression is adjusted using language model results associated with the selected candidate.


2
Brian Strope, William J Byrne, Francoise Beaufays: Business listing search. Google, Fish & Richardson P C, February 15, 2011: US07890326 (23 worldwide citation)

A method of operating a voice-enabled business directory search system includes selecting a subset of speech recognition language models from a larger set of speech recognition language models based on a type of business provided by a user, identifying weight values for the selected language models, ...


3
Frederick V Weber: Discriminative language model training using a confusion matrix. Amazon Technologies, Knobbe Martens Olson & Bear, December 29, 2015: US09224386 (3 worldwide citation)

Features are disclosed for discriminative training of speech recognition language models. A confusion matrix can be generated from acoustic model training data for use in discriminative training. The confusion matrix can include probabilities for the substitution, insertion, and/or deletion of some ...


4
Mark E Epstein, Jean Christophe Marcadet, Kevin B Smith: Monte Carlo method for natural language understanding and speech recognition language models. International Business Machines Corporation, Akerman Senterfitt, May 2, 2006: US07039579 (2 worldwide citation)

A Monte Carlo method for use with natural language understanding and speech recognition language models can include a series of steps. The steps can include identifying at least one phrase embedded in a body of text wherein the phrase can belong to a phrase class. An additional attribute correspondi ...


5
Gillick Laurence S, Gould Joel M, Roth Robert, Van Mulbregt Paul A, Bibeault Michael D: Speech recognition language models. Dragon Systems, December 8, 2004: EP1484744-A1 (1 worldwide citation)

Language model results are combined according to a combination expression to produce combined language model results for a set of candidates. A candidate is selected and the combination expression is adjusted using language model results associated with the selected candidate.


6
Daniel Willett, Jianxiong Wu, Paul J Vozila, William F Ganong III: Hybrid controller for ASR. Nuance Communications, Wolf Greenfield & Sacks P C, February 6, 2018: US09886944

A mobile device is described which is adapted for automatic speech recognition (ASR). A speech input receives an unknown speech input signal from a user. A local controller determines if a remote ASR processing condition is met, transforms the speech input signal into a selected one of multiple diff ...


7
Brian Strope, William J Byrne, Francoise Beaufays: Business or personal listing search. GOOGLE, Marshall Gerstein & Borun, July 17, 2018: US10026402

A method of searching a business listing with voice commands includes receiving, over the Internet, from a user terminal, a query spoken by a user, which includes a speech utterance representing a category of merchandize, a speech utterance representing a merchandize item, and a speech utterance rep ...


8
Andrew Johnathon Daborn, Uwe Helmut Jost: Human transcriptionist directed posterior audio source separation. Nuance Communications, Mark H Whittenberger Esq, Holland & Knight, June 13, 2017: US09679564

A graphical user interface is described for human guided audio source separation in a multi-speaker automated transcription system receiving audio signals representing speakers participating together in a speech session. A speaker avatar for each speaker is distributed about a user interface display ...


9
Steven J Rennie, Pierre Dognin, Petr Fousek: System and method for dynamic noise adaptation for robust automatic speech recognition. Nuance Communications, Banner & Witcoff, August 22, 2017: US09741341

A speech processing method and arrangement are described. A dynamic noise adaptation (DNA) model characterizes a speech input reflecting effects of background noise. A null noise DNA model characterizes the speech input based on reflecting a null noise mismatch condition. A DNA interaction model per ...


10
Dermot Connolly, Daniel Willett: Feature normalization inputs to front end processing for automatic speech recognition. Nuance Communications, Banner & Witcoff, May 29, 2018: US09984676

A computer-implemented method is described for front end speech processing for automatic speech recognition. A sequence of speech features which characterize an unknown speech input is received with a computer process. A first subset of the speech features is normalized with a computer process using ...