公开(公告)号：US20210225365A1

公开(公告)日：2021-07-22

申请号：US16747697

申请日：2020-01-21

申请人： Ria Sinha ,  Rishi Amit Sinha

发明人： Ria Sinha ,  Rishi Amit Sinha

IPC分类号： G10L15/08 ,  G10L21/0208 ,  G06K9/62 ,  G06N20/00 ,  G06F9/54 ,  H04R3/04

摘要： Systems and Methods for assisting the hearing-impaired are described. The methods rely on obtaining audio signals from the ambient environment of a hearing-impaired person. The audio signals are analyzed by a machine learning model that can classify audio signals into audio categories (e.g. Emergency, Animal Sounds) and audio types (e.g. Ambulance Siren, Dog Barking) and notify the user leveraging a mobile or wearable device. The user can configure notification preferences and view historical logs. The machine learning classifier is periodically trained externally based on labelled audio samples. Additional system features include an audio amplification option and a speech to text option for transcribing human speech to text output.

公开(公告)号：US12119022B2

公开(公告)日：2024-10-15

申请号：US17536673

申请日：2021-11-29

申请人： Rishi Amit Sinha ,  Ria Sinha

发明人： Rishi Amit Sinha ,  Ria Sinha

IPC分类号： G10L25/63 ,  G10L21/0208 ,  G10L25/30 ,  H04L67/55

CPC分类号： G10L25/63 ,  G10L21/0208 ,  G10L25/30 ,  H04L67/55

摘要： Systems and methods used in a cognitive assistant for detecting human emotions from speech audio signals is described. The system obtains audio signals from an audio receiver and extracts human speech samples. Subsequently, it runs a machine learning based classifier to analyze the human speech signal and classify the emotion observed in it. The user is then notified, based on their preferences, with a summary of the emotion detected. Notifications can also be sent to other systems that have been configured to receive them. Optionally, the system may include the ability to store the speech sample and emotion classification detected for future analysis. The system's machine learning classifier is periodically re-trained based on labelled audio speech data and updated.

公开(公告)号：US20220084543A1

公开(公告)日：2022-03-17

申请号：US17536673

申请日：2021-11-29

申请人： Rishi Amit Sinha ,  Ria Sinha

发明人： Rishi Amit Sinha ,  Ria Sinha

IPC分类号： G10L25/63 ,  G10L21/0208 ,  G10L25/30 ,  H04L67/55

摘要： Systems and methods used in a cognitive assistant for detecting human emotions from speech audio signals is described. The system obtains audio signals from an audio receiver and extracts human speech samples. Subsequently, it runs a machine learning based classifier to analyze the human speech signal and classify the emotion observed in it. The user is then notified, based on their preferences, with a summary of the emotion detected. Notifications can also be sent to other systems that have been configured to receive them. Optionally, the system may include the ability to store the speech sample and emotion classification detected for future analysis. The system's machine learning classifier is periodically re-trained based on labelled audio speech data and updated.

公开(公告)号：US11189265B2

公开(公告)日：2021-11-30

申请号：US16747697

申请日：2020-01-21

申请人： Ria Sinha ,  Rishi Amit Sinha

发明人： Ria Sinha ,  Rishi Amit Sinha

IPC分类号： G10L15/08 ,  G10L21/0208 ,  G06K9/62 ,  H04R3/04 ,  G06N20/00 ,  G06F9/54

摘要： Systems and Methods for assisting the hearing-impaired are described. The methods rely on obtaining audio signals from the ambient environment of a hearing-impaired person. The audio signals are analyzed by a machine learning model that can classify audio signals into audio categories (e.g. Emergency, Animal Sounds) and audio types (e.g. Ambulance Siren, Dog Barking) and notify the user leveraging a mobile or wearable device. The user can configure notification preferences and view historical logs. The machine learning classifier is periodically trained externally based on labelled audio samples. Additional system features include an audio amplification option and a speech to text option for transcribing human speech to text output.