Patents by Inventor Russell J. Ryan
Russell J. Ryan 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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Patent number: 11862142Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.Type: GrantFiled: August 2, 2021Date of Patent: January 2, 2024Assignee: Google LLCInventors: Samuel Bengio, Yuxuan Wang, Zongheng Yang, Zhifeng Chen, Yonghui Wu, Ioannis Agiomyrgiannakis, Ron J. Weiss, Navdeep Jaitly, Ryan M. Rifkin, Robert Andrew James Clark, Quoc V. Le, Russell J. Ryan, Ying Xiao
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Publication number: 20210366463Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.Type: ApplicationFiled: August 2, 2021Publication date: November 25, 2021Inventors: Samuel Bengio, Yuxuan Wang, Zongheng Yang, Zhifeng Chen, Yonghui Wu, Ioannis Agiomyrgiannakis, Ron J. Weiss, Navdeep Jaitly, Ryan M. Rifkin, Robert Andrew James Clark, Quoc V. Le, Russell J. Ryan, Ying Xiao
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Patent number: 11107457Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.Type: GrantFiled: November 26, 2019Date of Patent: August 31, 2021Assignee: Google LLCInventors: Samuel Bengio, Yuxuan Wang, Zongheng Yang, Zhifeng Chen, Yonghui Wu, Ioannis Agiomyrgiannakis, Ron J. Weiss, Navdeep Jaitly, Ryan M. Rifkin, Robert Andrew James Clark, Quoc V. Le, Russell J. Ryan, Ying Xiao
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Publication number: 20200098350Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.Type: ApplicationFiled: November 26, 2019Publication date: March 26, 2020Inventors: Samuel Bengio, Yuxuan Wang, Zongheng Yang, Zhifeng Chen, Yonghui Wu, Ioannis Agiomyrgiannakis, Ron J. Weiss, Navdeep Jaitly, Ryan M. Rifkin, Robert Andrew James Clark, Quoc V. Le, Russell J. Ryan, Ying Xiao
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Patent number: 10573293Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.Type: GrantFiled: June 20, 2019Date of Patent: February 25, 2020Assignee: Google LLCInventors: Samuel Bengio, Yuxuan Wang, Zongheng Yang, Zhifeng Chen, Yonghui Wu, Ioannis Agiomyrgiannakis, Ron J. Weiss, Navdeep Jaitly, Ryan M. Rifkin, Robert Andrew James Clark, Quoc V. Le, Russell J. Ryan, Ying Xiao
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Publication number: 20190311708Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating speech from text. One of the systems includes one or more computers and one or more storage devices storing instructions that when executed by one or more computers cause the one or more computers to implement: a sequence-to-sequence recurrent neural network configured to: receive a sequence of characters in a particular natural language, and process the sequence of characters to generate a spectrogram of a verbal utterance of the sequence of characters in the particular natural language; and a subsystem configured to: receive the sequence of characters in the particular natural language, and provide the sequence of characters as input to the sequence-to-sequence recurrent neural network to obtain as output the spectrogram of the verbal utterance of the sequence of characters in the particular natural language.Type: ApplicationFiled: June 20, 2019Publication date: October 10, 2019Inventors: Samy Bengio, Yuxuan Wang, Zongheng Yang, Zhifeng Chen, Yonghui Wu, Ioannis Agiomyrgiannakis, Ron J. Weiss, Navdeep Jaitly, Ryan M. Rifkin, Robert Andrew James Clark, Quoc V. Le, Russell J. Ryan, Ying Xiao
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Patent number: 9110943Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying an image for an entity. In one aspect, a method includes identifying a set of resources. Each resource can include at least one image and reference at least one entity. Each image is assigned to a particular entity based on an overall entity scores for the image relative to the entities. The overall entity score for an image and an entity can specify a measure of topical relatedness between the image and the entity. For each individual entity referenced by at least one of the resources, a group of images that have been assigned to the individual entity is identified. An image evocative of each individual entity is selected from the group based on image rank scores. The image rank score for an image can be determined based on visual characteristics of the image.Type: GrantFiled: January 31, 2013Date of Patent: August 18, 2015Assignee: Google Inc.Inventors: Nathan D. Beach, Thomas W. Colthurst, Namrata U. Godbole, Russell J. Ryan, Matthew K. Gray, Marius G. Andrei