Patents by Inventor Ignacio L. Moreno
Ignacio L. Moreno has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230206909Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.Type: ApplicationFiled: March 2, 2023Publication date: June 29, 2023Applicant: Google LLCInventors: Andrew W. Senior, Ignacio L. Moreno
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Patent number: 11620991Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.Type: GrantFiled: January 21, 2021Date of Patent: April 4, 2023Assignee: Google LLCInventors: Andrew W. Senior, Ignacio L. Moreno
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Patent number: 11620104Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.Type: GrantFiled: July 11, 2022Date of Patent: April 4, 2023Assignee: Google LLCInventors: Eugene Weinstein, Ignacio L. Moreno
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Publication number: 20220342632Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.Type: ApplicationFiled: July 11, 2022Publication date: October 27, 2022Applicant: Google LLCInventors: Eugene Weinstein, Ignacio L. Moreno
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Patent number: 11403065Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.Type: GrantFiled: December 29, 2020Date of Patent: August 2, 2022Assignee: Google LLCInventors: Eugene Weinstein, Ignacio L. Moreno
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Patent number: 11137977Abstract: The characteristics of the speaker may be used to automatically customize a user interface of a client device for the speaker. For instance, a mobile device may generate a user interface that does not permit access to particular applications on the mobile device, that only includes options to call home and access a camera application, or that includes an override option to cause generation of a user interface for a different class of user than a user class for the automatic customizations applied to the user interface.Type: GrantFiled: August 8, 2016Date of Patent: October 5, 2021Assignee: Google LLCInventors: Eugene Weinstein, Ignacio L. Moreno
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Publication number: 20210183376Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.Type: ApplicationFiled: January 21, 2021Publication date: June 17, 2021Applicant: Google LLCInventors: Andrew W. Senior, Ignacio L. Moreno
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Publication number: 20210117153Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.Type: ApplicationFiled: December 29, 2020Publication date: April 22, 2021Applicant: Google LLCInventors: Eugene Weinstein, Ignacio L. Moreno
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Patent number: 10438581Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.Type: GrantFiled: July 31, 2013Date of Patent: October 8, 2019Assignee: Google LLCInventors: Andrew W. Senior, Ignacio L. Moreno
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Patent number: 9858922Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for caching speech recognition scores. In some implementations, one or more values comprising data about an utterance are received. An index value is determined for the one or more values. An acoustic model score for the one or more received values is selected, from a cache of acoustic model scores that were computed before receiving the one or more values, based on the index value. A transcription for the utterance is determined using the selected acoustic model score.Type: GrantFiled: June 23, 2014Date of Patent: January 2, 2018Assignee: Google Inc.Inventors: Eugene Weinstein, Sanjiv Kumar, Ignacio L. Moreno, Andrew W. Senior, Nikhil Prasad Bhat
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Publication number: 20160342389Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.Type: ApplicationFiled: August 8, 2016Publication date: November 24, 2016Inventors: Eugene Weinstein, Ignacio L. Moreno
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Patent number: 9401148Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for inputting speech data that corresponds to a particular utterance to a neural network; determining an evaluation vector based on output at a hidden layer of the neural network; comparing the evaluation vector with a reference vector that corresponds to a past utterance of a particular speaker; and based on comparing the evaluation vector and the reference vector, determining whether the particular utterance was likely spoken by the particular speaker.Type: GrantFiled: March 28, 2014Date of Patent: July 26, 2016Assignee: Google Inc.Inventors: Xin Lei, Erik McDermott, Ehsan Variani, Ignacio L. Moreno
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Patent number: 9318112Abstract: The technology described in this document can be embodied in a computer-implemented method that includes receiving, at a processing system, a first signal including an output of a speaker device and an additional audio signal. The method also includes determining, by the processing system, based at least in part on a model trained to identify the output of the speaker device, that the additional audio signal corresponds to an utterance of a user. The method further includes initiating a reduction in an audio output level of the speaker device based on determining that the additional audio signal corresponds to the utterance of the user.Type: GrantFiled: February 14, 2014Date of Patent: April 19, 2016Assignee: Google Inc.Inventors: Diego Melendo Casado, Ignacio L. Moreno, Javier Gonzalez-Dominguez
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Publication number: 20150371631Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for caching speech recognition scores. In some implementations, one or more values comprising data about an utterance are received. An index value is determined for the one or more values. An acoustic model score for the one or more received values is selected, from a cache of acoustic model scores that were computed before receiving the one or more values, based on the index value. A transcription for the utterance is determined using the selected acoustic model score.Type: ApplicationFiled: June 23, 2014Publication date: December 24, 2015Inventors: Eugene Weinstein, Sanjiv Kumar, Ignacio L. Moreno, Andrew W. Senior, Nikhil Prasad Bhat
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Publication number: 20150364129Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for language identification. In some implementations, speech data for an utterance is received and provided to (i) a language identification module and (ii) multiple speech recognizers that are each configured to recognize speech in a different language. From the language identification module, language identification scores corresponding to different languages are received, the language identification scores each indicating a likelihood that the utterance is speech in the corresponding language. A language model confidence score that indicates a level of confidence that a language model has in a transcription of the utterance in a language corresponding to the language model is received. A language is selected based on the language identification scores and the language model confidence scores.Type: ApplicationFiled: June 24, 2014Publication date: December 17, 2015Inventors: Javier Gonzalez-Dominguez, Ignacio L. Moreno, David P. Eustis
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Publication number: 20150235637Abstract: The technology described in this document can be embodied in a computer-implemented method that includes receiving, at a processing system, a first signal including an output of a speaker device and an additional audio signal. The method also includes determining, by the processing system, based at least in part on a model trained to identify the output of the speaker device, that the additional audio signal corresponds to an utterance of a user. The method further includes initiating a reduction in an audio output level of the speaker device based on determining that the additional audio signal corresponds to the utterance of the user.Type: ApplicationFiled: February 14, 2014Publication date: August 20, 2015Inventors: Diego Melendo Casado, Ignacio L. Moreno, Javier Gonzalez-Dominguez
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Publication number: 20150154002Abstract: Characteristics of a speaker are estimated using speech processing and machine learning. The characteristics of the speaker are used to automatically customize a user interface of a client device for the speaker.Type: ApplicationFiled: December 4, 2013Publication date: June 4, 2015Inventors: Eugene Weinstein, Ignacio L. Moreno
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Publication number: 20150127336Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for inputting speech data that corresponds to a particular utterance to a neural network; determining an evaluation vector based on output at a hidden layer of the neural network; comparing the evaluation vector with a reference vector that corresponds to a past utterance of a particular speaker; and based on comparing the evaluation vector and the reference vector, determining whether the particular utterance was likely spoken by the particular speaker.Type: ApplicationFiled: March 28, 2014Publication date: May 7, 2015Applicant: Google Inc.Inventors: Xin Lei, Erik McDermott, Ehsan Variani, Ignacio L. Moreno
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Publication number: 20150039301Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for speech recognition using neural networks. A feature vector that models audio characteristics of a portion of an utterance is received. Data indicative of latent variables of multivariate factor analysis is received. The feature vector and the data indicative of the latent variables is provided as input to a neural network. A candidate transcription for the utterance is determined based on at least an output of the neural network.Type: ApplicationFiled: July 31, 2013Publication date: February 5, 2015Applicant: Google Inc.Inventors: Andrew W. Senior, Ignacio L. Moreno