Patents by Inventor Yuzo Watanabe
Yuzo Watanabe 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: 11947591Abstract: The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.Type: GrantFiled: September 18, 2018Date of Patent: April 2, 2024Assignee: GOOGLE LLCInventors: David Karam, Li Zhang, Ariel Gilder, Yuzo Watanabe, Eric Penner, Farooq Ahmad, Hartwig Adam
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Patent number: 11527243Abstract: Described herein are systems, methods, and apparatus for determining audio context between an audio source and an audio sink and selecting signal profiles based at least in part on that audio context. The signal profiles may include noise cancellation which is configured to facilitate operation within the audio context. Audio context may include user-to-user and user-to-device communications.Type: GrantFiled: January 9, 2020Date of Patent: December 13, 2022Assignee: Amazon Technologies, Inc.Inventors: Stephen M. Polansky, Matthew P. Bell, Yuzo Watanabe
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Publication number: 20220194925Abstract: The present application discloses a method and a compound that are useful for preparation of a compound of Formula (XI). Furthermore, the present application discloses the compound of Formula (XI) comprising a small amount of impurities.Type: ApplicationFiled: May 13, 2020Publication date: June 23, 2022Inventors: Taichi Abe, Kazuhiro Yoshizawa, Yuzo Watanabe, Takeshi Miura, Yusuke Ayata, Yoshinori Yasuda
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Publication number: 20210248179Abstract: The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.Type: ApplicationFiled: September 18, 2018Publication date: August 12, 2021Inventors: David Karam, Li Zhang, Ariel Gilder, Yuzo Watanabe, Eric Penner, Farooq Ahmad, Hartwig Adam
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Patent number: 10964312Abstract: Features are disclosed for generating predictive personal natural language processing models based on user-specific profile information. The predictive personal models can provide broader coverage of the various terms, named entities, and/or intents of an utterance by the user than a personal model, while providing better accuracy than a general model. Profile information may be obtained from various data sources. Predictions regarding the content or subject of future user utterances may be made from the profile information. Predictive personal models may be generated based on the predictions. Future user utterances may be processed using the predictive personal models.Type: GrantFiled: August 13, 2018Date of Patent: March 30, 2021Assignee: Amazon Technologies, Inc.Inventors: William Folwell Barton, Rohit Prasad, Stephen Frederick Potter, Nikko Strom, Yuzo Watanabe, Madan Mohan Rao Jampani, Ariya Rastrow, Arushan Rajasekaram
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Patent number: 10565990Abstract: Described herein are systems, methods, and apparatus for determining audio context between an audio source and an audio sink and selecting signal profiles based at least in part on that audio context. The signal profiles may include noise cancellation which is configured to facilitate operation within the audio context. Audio context may include user-to-user and user-to-device communications.Type: GrantFiled: July 28, 2017Date of Patent: February 18, 2020Assignee: Amazon Technologies, Inc.Inventors: Stephen M. Polansky, Matthew P. Bell, Yuzo Watanabe
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Publication number: 20190180736Abstract: Features are disclosed for generating predictive personal natural language processing models based on user-specific profile information. The predictive personal models can provide broader coverage of the various terms, named entities, and/or intents of an utterance by the user than a personal model, while providing better accuracy than a general model. Profile information may be obtained from various data sources. Predictions regarding the content or subject of future user utterances may be made from the profile information. Predictive personal models may be generated based on the predictions. Future user utterances may be processed using the predictive personal models.Type: ApplicationFiled: August 13, 2018Publication date: June 13, 2019Inventors: William Folwell Barton, Rohit Prasad, Stephen Frederick Potter, Nikko Strom, Yuzo Watanabe, Madan Mohan Rao Jampani, Ariya Rastrow, Arushan Rajasekaram
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Patent number: 10065930Abstract: There are provided a method for producing 2,4-disubstituted pyrimidine-5-ol, and particularly, 2,4-dimethylpyrimidine-5-ol and an intermediate thereof used in industrial production. The production method according to the present invention includes a step of producing 2,4-disubstituted pyrimidine-5-ol according to a hydrolysis reaction of a 2,4-disubstituted-5-(4-(nitrophenyl)oxy)pyrimidine compound and is suitable for industrial production since an inexpensive and easily available starting material can be used, regioselectivity of a substituent group is easily controlled, impurities are easily controlled, and 2,4-disubstituted pyrimidine-5-ol can be produced without using reagents and intermediates causing health problems, risks and the like.Type: GrantFiled: August 3, 2015Date of Patent: September 4, 2018Assignee: Eisai R&D Management Co., Ltd.Inventor: Yuzo Watanabe
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Patent number: 10049656Abstract: Features are disclosed for generating predictive personal natural language processing models based on user-specific profile information. The predictive personal models can provide broader coverage of the various terms, named entities, and/or intents of an utterance by the user than a personal model, while providing better accuracy than a general model. Profile information may be obtained from various data sources. Predictions regarding the content or subject of future user utterances may be made from the profile information. Predictive personal models may be generated based on the predictions. Future user utterances may be processed using the predictive personal models.Type: GrantFiled: September 20, 2013Date of Patent: August 14, 2018Assignee: Amazon Technologies, Inc.Inventors: William Folwell Barton, Rohit Prasad, Stephen Frederick Potter, Nikko Strom, Yuzo Watanabe, Madan Mohan Rao Jampani, Ariya Rastrow, Arushan Rajasekaram
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Patent number: 9721568Abstract: Described herein are systems, methods, and apparatus for determining audio context between an audio source and an audio sink and selecting signal profiles based at least in part on that audio context. The signal profiles may include noise cancellation which is configured to facilitate operation within the audio context. Audio context may include user-to-user and user-to-device communications.Type: GrantFiled: May 27, 2016Date of Patent: August 1, 2017Assignee: AMAZON TECHNOLOGIES, INC.Inventors: Stephen M. Polansky, Matthew P. Bell, Yuzo Watanabe
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Publication number: 20170204068Abstract: There are provided a method for producing 2,4-disubstituted pyrimidine-5-ol, and particularly, 2,4-dimethylpyrimidine-5-ol and an intermediate thereof used in industrial production. The production method according to the present invention includes a step of producing 2,4-disubstituted pyrimidine-5-ol according to a hydrolysis reaction of a 2,4-disubstituted-5-(4-(nitrophenyl)oxy)pyrimidine compound and is suitable for industrial production since an inexpensive and easily available starting material can be used, regioselectivity of a substituent group is easily controlled, impurities are easily controlled, and 2,4-disubstituted pyrimidine-5-ol can be produced without using reagents and intermediates causing health problems, risks and the like.Type: ApplicationFiled: August 3, 2015Publication date: July 20, 2017Applicant: Eisai R&D Management Co., Ltd.Inventor: Yuzo Watanabe
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Patent number: 9672812Abstract: A speech-based audio device may be configured to detect a user-uttered trigger expression and to respond by interpreting subsequent words or phrases as commands. In order to distinguish between utterance of the trigger expression by the user and generation of the trigger expression by the device itself, output signals used as speaker inputs are analyzed to detect whether the trigger expression has been generated by the speaker. If a detected trigger expression has been generated by the speaker, it is disqualified. Disqualified trigger expressions are not acted upon the by the audio device.Type: GrantFiled: September 18, 2013Date of Patent: June 6, 2017Assignee: Amazon Technologies, Inc.Inventors: Yuzo Watanabe, Paul Joseph Schaffert, Bjorn Hoffmeister, Stan Weidner Salvador
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Patent number: 9620111Abstract: Described herein are systems and methods for the generation and maintenance of language models. Language models are developed based at least in part on transaction data from one or more users. These transactions may include purchases and other interactions between one or more users and one or more online merchants. The language models may be associated with a particular user or group of users. Ongoing transactions may modify the language models. The language models may be used to recognize spoken input from the one or more users.Type: GrantFiled: May 1, 2012Date of Patent: April 11, 2017Assignee: Amazon Technologies, Inc.Inventors: Matthew P. Bell, Stephen Polansky, Yuzo Watanabe
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Patent number: 9502029Abstract: Described herein are systems and methods for context-aware speech processing. A speech context is determined based on context data associated with a user uttering speech. The speech context and the speech uttered in that speech context may be used to build acoustic models for that speech context. An acoustic model for use in speech processing may be selected based on the determined speech context. A language model for use in speech processing may also be selected based on the determined speech context. Using the acoustic and language models, the speech may be processed to recognize the speech from the user.Type: GrantFiled: June 25, 2012Date of Patent: November 22, 2016Assignee: Amazon Technologies, Inc.Inventors: Matthew P. Bell, Yuzo Watanabe, Stephen M. Polansky
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Patent number: 9443527Abstract: A system for controlling multiple devices using automatic speech recognition (ASR) even when the devices may not be capable of performing ASR themselves. A device such as a media player, appliance, or the like may be recognized by a network. The configured controls for the device (such as a remote control or other mechanism) are incorporated into a device control registry which catalogs device command controls. Individual ASR grammars are constructed for the devices so speech commands for those devices may be processed by an ASR device. The ASR device may then process those speech commands and convert them into the appropriate inputs for the controlled device. The inputs may then be sent to the controlled device, resulting in ASR control for non-ASR devices.Type: GrantFiled: September 27, 2013Date of Patent: September 13, 2016Assignee: Amazon Technologies, Inc.Inventors: Yuzo Watanabe, Arushan Rajasekaram, Rajiv Ramachandran, Mark Steven Baumback
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Patent number: 9363104Abstract: Various approaches enable automatic communication generation based on patterned behavior in a particular context. For example, a computing device can monitor behavior of a user to determine patterns of communication behavior in certain situations. In response to detecting multiple occurrences of the certain situation, a computing device can prompt a user to perform an action corresponding to the pattern of behavior. In some embodiments, a set of speech models corresponding to a type of contact is generated. The speech models include language consistent with patterns of speech between a user and the type of contact. Based on context and on the contact, a message using language consistent with past communications between the user and contact is generated from a speech model associated with the type of contact.Type: GrantFiled: April 21, 2014Date of Patent: June 7, 2016Assignee: Amazon Technologies, Inc.Inventors: Isaac Scott Noble, Gabrielle M. Halberg, Kenneth Mark Karakotsios, Yuzo Watanabe
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Patent number: 9361289Abstract: Features are disclosed for maintaining data that can be used to personalize spoken language processing, such as automatic speech recognition (“ASR”), natural language understanding (“NLU”), natural language processing (“NLP”), etc. The data may be obtained from various data sources, such as applications or services used by the user. User-specific data maintained by the data sources can be retrieved and stored for use in generating personal models. Updates to data at the data sources may be reflected by separate data sets in the personalization data, such that other processes can obtain the update data sets separate from other data.Type: GrantFiled: August 30, 2013Date of Patent: June 7, 2016Assignee: Amazon Technologies, Inc.Inventors: Madan Mohan Rao Jampani, Arushan Rajasekaram, Nikko Strom, Yuzo Watanabe, Stan Weidner Salvador
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Patent number: 9357321Abstract: Described herein are systems, methods, and apparatus for determining audio context between an audio source and an audio sink and selecting signal profiles based at least in part on that audio context. The signal profiles may include noise cancellation which is configured to facilitate operation within the audio context. Audio context may include user-to-user and user-to-device communications.Type: GrantFiled: September 30, 2014Date of Patent: May 31, 2016Assignee: Amazon Technologies, Inc.Inventors: Stephen M. Polansky, Matthew P. Bell, Yuzo Watanabe
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Patent number: 9288594Abstract: A computing device can capture audio data representative of audio content present in a current environment. The captured audio data can be compared with audio models to locate a matching audio model. The matching audio model can be associated with an environment. The current environment can be identified based on the environment associated with the matching audio model. In some embodiments, information about the identified current environment can be provided to at least one application executing on the computing device. The at least one the application can be configured to adjust at least one functional aspect based at least in part upon the determined current environment. In some embodiments, one or more computing tasks performed by the computing device can be improved based on information relating to the identified current environment. These computing tasks can include location refinement, location classification, and speech recognition.Type: GrantFiled: December 17, 2012Date of Patent: March 15, 2016Assignee: Amazon Technologies, Inc.Inventors: Stephen Michael Polansky, Yuzo Watanabe, Matthew Paul Bell
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Patent number: 9263044Abstract: A computing device can capture video data of at least a portion of a mouth area (e.g., mouth, lips, tongue, chin, jaw) of a user of the device. The computing device can also capture sound data including a voice of the user as well as noise (e.g. background noise). The video data can be processed to detect a movement of the portion of the mouth area. The movement of the portion of the mouth area can be analyzed and compared with mouth area movement models characteristic of oral communication (e.g., speech, song). If the movement of the portion of the mouth area corresponds to at least one model characteristic of oral communication, then the movement indicates that the user is likely engaging in oral communication. Noise reduction can be applied and/or increased on the captured sound data to reduce noise and in turn enhance the user's voice.Type: GrantFiled: June 27, 2012Date of Patent: February 16, 2016Assignee: Amazon Technologies, Inc.Inventors: Ryan H. Cassidy, Yuzo Watanabe, Isaac S. Noble