Patents by Inventor Shengbin Yang
Shengbin Yang 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: 20240125181Abstract: Hydrogeological drilling-type detection equipment includes a detection support frame, where the detection support frame is fixedly connected with a detection box body with a through hole, the through hole is communicated with an inside of the detection box body, a drilling box body is arranged inside the through hole, a lifting assembly is arranged inside the detection box body, the drilling box body is slidably connected with the through hole through the lifting assembly, a bottom end of the drilling box body is provided with a multifunctional drilling assembly provided with a blocking assembly, each of four corners of a bottom end of the detection support frame is provided with a moving wheel, the detection support frame is provided with a stable support assembly, the stable support assembly is correspondingly arranged with the moving wheel, and one side of the detection support frame is fixedly connected with an armrest.Type: ApplicationFiled: October 12, 2023Publication date: April 18, 2024Inventors: Shengbin WANG, Zexue QI, Fenglin WANG, Zhen ZHAO, Xiaoran CHAI, Guoqiang ZHANG, Long CHEN, Youjing YUAN, Haicong KOU, Shanhu XIAO, Shaokang YANG, Jianhui WANG
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Publication number: 20230352194Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from an electronic display screen and/or a speaker of a computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.Type: ApplicationFiled: July 5, 2023Publication date: November 2, 2023Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O’CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Patent number: 11756693Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from an electronic display screen and/or a speaker of a computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.Type: GrantFiled: May 30, 2022Date of Patent: September 12, 2023Assignee: CANARY SPEECH, LLCInventors: Jangwon Kim, Namhee Kwon, Henry O'Connell, Phillip Walstad, Kevin Shengbin Yang
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Patent number: 11749414Abstract: A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts.Type: GrantFiled: January 18, 2021Date of Patent: September 5, 2023Assignee: CANARY SPEECH, LLCInventors: Jangwon Kim, Namhee Kwon, Henry O'Connell, Phillip Walstad, Kevin Shengbin Yang
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Publication number: 20220293286Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from an electronic display screen and/or a speaker of a computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.Type: ApplicationFiled: May 30, 2022Publication date: September 15, 2022Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O'CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Patent number: 11348694Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a mobile computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.Type: GrantFiled: May 24, 2019Date of Patent: May 31, 2022Assignee: Canary Speech, Inc.Inventors: Jangwon Kim, Namhee Kwon, Henry O'Connell, Phillip Walstad, Kevin Shengbin Yang
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Publication number: 20210142917Abstract: A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts.Type: ApplicationFiled: January 18, 2021Publication date: May 13, 2021Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O'CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Patent number: 10896765Abstract: A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts.Type: GrantFiled: November 13, 2018Date of Patent: January 19, 2021Assignee: CANARY SPEECH, LLCInventors: Jangwon Kim, Namhee Kwon, Henry O'Connell, Phillip Walstad, Kevin Shengbin Yang
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Publication number: 20190311815Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device with one or more open ended questions. A response module is configured to receive a conversational verbal response of a user from a microphone of a mobile computing device in response to one or more open ended questions. A detection module is configured to provide a machine learning assessment for a user of a medical condition based on a machine learning analysis of a received conversational verbal response of the user.Type: ApplicationFiled: May 24, 2019Publication date: October 10, 2019Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O'CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Patent number: 10311980Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device. A response module is configured to receive a verbal response of a user from a microphone of a mobile computing device. A detection module is configured to provide an assessment for a user of a medical condition based on an analysis of a received verbal response of the user.Type: GrantFiled: May 7, 2018Date of Patent: June 4, 2019Assignee: CANARY SPEECH, LLCInventors: Jangwon Kim, Namhee Kwon, Henry O'Connell, Phillip Walstad, Kevin Shengbin Yang
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Publication number: 20190080804Abstract: A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts.Type: ApplicationFiled: November 13, 2018Publication date: March 14, 2019Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O'CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Patent number: 10152988Abstract: A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts.Type: GrantFiled: May 7, 2018Date of Patent: December 11, 2018Assignee: CANARY SPEECH, LLCInventors: Jangwon Kim, Namhee Kwon, Henry O'Connell, Phillip Walstad, Kevin Shengbin Yang
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Publication number: 20180322894Abstract: A mathematical model may be trained to diagnose a medical condition of a person by processing acoustic features and language features of speech of the person. The performance of the mathematical model may be improved by appropriately selecting the features to be used with the mathematical model. Features may be selected by computing a feature selection score for each acoustic feature and each language feature, and then selecting features using the scores, such as by selecting features with the highest scores. In some implementations, stability determinations may be computed for each feature and features may be selected using both the feature selection scores and the stability determinations. A mathematical model may then be trained using the selected features and deployed. In some implementations, prompts may be selected using computed prompt selection scores, and the deployed mathematical model may be used with the selected prompts.Type: ApplicationFiled: May 7, 2018Publication date: November 8, 2018Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O'CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Publication number: 20180322961Abstract: Apparatuses, systems, methods, and computer program products are disclosed for medical assessment based on voice. A query module is configured to audibly question a user from a speaker of a mobile computing device. A response module is configured to receive a verbal response of a user from a microphone of a mobile computing device. A detection module is configured to provide an assessment for a user of a medical condition based on an analysis of a received verbal response of the user.Type: ApplicationFiled: May 7, 2018Publication date: November 8, 2018Applicant: Canary Speech, LLCInventors: JANGWON KIM, NAMHEE KWON, HENRY O'CONNELL, PHILLIP WALSTAD, KEVIN SHENGBIN YANG
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Patent number: 9218806Abstract: Features are disclosed for selecting and using multiple transforms associated with a particular remote device for use in automatic speech recognition (“ASR”). Each transform may be based on statistics that have been generated from processing utterances that share some characteristic (e.g., acoustic characteristics, time frame within which the utterances where processed, etc.). When an utterance is received from the remote device, a particular transform or set of transforms may be selected for use in speech processing based on data obtained from the remote device, speech processing of a portion of the utterance, speech processing of prior utterances, etc. The transform or transforms used in processing the utterances may then be updated based on the results of the speech processing.Type: GrantFiled: May 10, 2013Date of Patent: December 22, 2015Assignee: Amazon Technologies, Inc.Inventors: Stan Weidner Salvador, Shengbin Yang, Hugh Evan Secker-Walker, Karthik Ramakrishnan