Patents by Inventor Gabor Simko

Gabor Simko 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).

  • Publication number: 20200168242
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting an end of a query are disclosed. In one aspect, a method includes the actions of receiving audio data that corresponds to an utterance spoken by a user. The actions further include applying, to the audio data, an end of query model. The actions further include determining the confidence score that reflects a likelihood that the utterance is a complete utterance. The actions further include comparing the confidence score that reflects the likelihood that the utterance is a complete utterance to a confidence score threshold. The actions further include determining whether the utterance is likely complete or likely incomplete. The actions further include providing, for output, an instruction to (i) maintain a microphone that is receiving the utterance in an active state or (ii) deactivate the microphone that is receiving the utterance.
    Type: Application
    Filed: January 31, 2020
    Publication date: May 28, 2020
    Applicant: Google LLC
    Inventors: Gabor Simko, Maria Carolina Parada San Martin, Sean Matthew Shannon
  • Publication number: 20200117996
    Abstract: A method for training an endpointer model includes short-form speech utterances and long-form speech utterances. The method also includes providing a short-form speech utterance as input to a shared neural network, the shared neural network configured to learn shared hidden representations suitable for both voice activity detection (VAD) and end-of-query (EOQ) detection. The method also includes generating, using a VAD classifier, a sequence of predicted VAD labels and determining a VAD loss by comparing the sequence of predicted VAD labels to a corresponding sequence of reference VAD labels. The method also includes, generating, using an EOQ classifier, a sequence of predicted EOQ labels and determining an EOQ loss by comparing the sequence of predicted EOQ labels to a corresponding sequence of reference EOQ labels. The method also includes training, using a cross-entropy criterion, the endpointer model based on the VAD loss and the EOQ loss.
    Type: Application
    Filed: December 11, 2019
    Publication date: April 16, 2020
    Applicant: Google LLC
    Inventors: Shuo-yiin Chang, Bo Li, Gabor Simko, Maria Carolina Parada San Martin, Sean Matthew Shannon
  • Patent number: 10593352
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting an end of a query are disclosed. In one aspect, a method includes the actions of receiving audio data that corresponds to an utterance spoken by a user. The actions further include applying, to the audio data, an end of query model. The actions further include determining the confidence score that reflects a likelihood that the utterance is a complete utterance. The actions further include comparing the confidence score that reflects the likelihood that the utterance is a complete utterance to a confidence score threshold. The actions further include determining whether the utterance is likely complete or likely incomplete. The actions further include providing, for output, an instruction to (i) maintain a microphone that is receiving the utterance in an active state or (ii) deactivate the microphone that is receiving the utterance.
    Type: Grant
    Filed: June 6, 2018
    Date of Patent: March 17, 2020
    Assignee: Google LLC
    Inventors: Gabor Simko, Maria Carolina Parada San Martin, Sean Matthew Shannon
  • Publication number: 20190304459
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for classification using neural networks. One method includes receiving audio data corresponding to an utterance. Obtaining a transcription of the utterance. Generating a representation of the audio data. Generating a representation of the transcription of the utterance. Providing (i) the representation of the audio data and (ii) the representation of the transcription of the utterance to a classifier that, based on a given representation of the audio data and a given representation of the transcription of the utterance, is trained to output an indication of whether the utterance associated with the given representation is likely directed to an automated assistance or is likely not directed to an automated assistant.
    Type: Application
    Filed: May 2, 2019
    Publication date: October 3, 2019
    Inventors: Nathan David Howard, Gabor Simko, Maria Carolina Parada San Martin, Ramkarthik Kalyanasundaram, Guru Prakash Arumugam, Srinivas Vasudevan
  • Patent number: 10311872
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for classification using neural networks. One method includes receiving audio data corresponding to an utterance. Obtaining a transcription of the utterance. Generating a representation of the audio data. Generating a representation of the transcription of the utterance. Providing (i) the representation of the audio data and (ii) the representation of the transcription of the utterance to a classifier that, based on a given representation of the audio data and a given representation of the transcription of the utterance, is trained to output an indication of whether the utterance associated with the given representation is likely directed to an automated assistance or is likely not directed to an automated assistant.
    Type: Grant
    Filed: July 25, 2017
    Date of Patent: June 4, 2019
    Assignee: Google LLC
    Inventors: Nathan David Howard, Gabor Simko, Maria Carolina Parada San Martin, Ramkarthik Kalyanasundaram, Guru Prakash Arumugam, Srinivas Vasudevan
  • Patent number: 10229700
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting voice activity. In one aspect, a method include actions of receiving, by a neural network included in an automated voice activity detection system, a raw audio waveform, processing, by the neural network, the raw audio waveform to determine whether the audio waveform includes speech, and provide, by the neural network, a classification of the raw audio waveform indicating whether the raw audio waveform includes speech.
    Type: Grant
    Filed: January 4, 2016
    Date of Patent: March 12, 2019
    Assignee: Google LLC
    Inventors: Tara N. Sainath, Gabor Simko, Maria Carolina Parada San Martin, Ruben Zazo Candil
  • Publication number: 20190035390
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for classification using neural networks. One method includes receiving audio data corresponding to an utterance. Obtaining a transcription of the utterance. Generating a representation of the audio data. Generating a representation of the transcription of the utterance. Providing (i) the representation of the audio data and (ii) the representation of the transcription of the utterance to a classifier that, based on a given representation of the audio data and a given representation of the transcription of the utterance, is trained to output an indication of whether the utterance associated with the given representation is likely directed to an automated assistance or is likely not directed to an automated assistant.
    Type: Application
    Filed: July 25, 2017
    Publication date: January 31, 2019
    Inventors: Nathan David Howard, Gabor Simko, Maria Carolina Parada San Martin, Ramkarthik Kalyanasundaram, Guru Prakash Arumugam, Srinivas Vasudevan
  • Publication number: 20180350395
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting an end of a query are disclosed. In one aspect, a method includes the actions of receiving audio data that corresponds to an utterance spoken by a user. The actions further include applying, to the audio data, an end of query model. The actions further include determining the confidence score that reflects a likelihood that the utterance is a complete utterance. The actions further include comparing the confidence score that reflects the likelihood that the utterance is a complete utterance to a confidence score threshold. The actions further include determining whether the utterance is likely complete or likely incomplete. The actions further include providing, for output, an instruction to (i) maintain a microphone that is receiving the utterance in an active state or (ii) deactivate the microphone that is receiving the utterance.
    Type: Application
    Filed: June 6, 2018
    Publication date: December 6, 2018
    Inventors: Gabor Simko, Maria Carolina Parada San Martin, Sean Matthew Shannon
  • Publication number: 20170092297
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting voice activity. In one aspect, a method include actions of receiving, by a neural network included in an automated voice activity detection system, a raw audio waveform, processing, by the neural network, the raw audio waveform to determine whether the audio waveform includes speech, and provide, by the neural network, a classification of the raw audio waveform indicating whether the raw audio waveform includes speech.
    Type: Application
    Filed: January 4, 2016
    Publication date: March 30, 2017
    Inventors: Tara N. Sainath, Gabor Simko, Maria Carolina Parada San Martin