公开(公告)号：US20240071407A1

公开(公告)日：2024-02-29

申请号：US18243800

申请日：2023-09-08

Applicant: Amazon Technologies, Inc.

Inventor： Harshavardhan Sundar ,  Sheetal Laad ,  Jialiang Bao ,  Ming Sun ,  Chao Wang ,  Chungnam Chan ,  Cengiz Erbas ,  Mathias Jourdain ,  Nipul Bharani ,  Aaron David Wirshba

IPC: G10L25/51 ,  G10L15/06 ,  G10L15/22 ,  G10L25/78

CPC classification number: G10L25/51 ,  G10L15/063 ,  G10L15/22 ,  G10L25/78 ,  G10L2015/0635

Abstract: Techniques for detecting certain acoustic events from audio data are described. A system may perform event aggregation for certain types of events before sending an output to a device representing the event is detected. The system may bypass the event aggregation process for certain types of events that the system may detect with a high level of confidence. In such cases, the system may send an output to the device when the event is detected. The system may be used to detect acoustic events representing presence of a person or other harmful circumstances (such as, fire, smoke, etc.) in a home, an office, a store, or other types of indoor settings.

公开(公告)号：US20230032575A1

公开(公告)日：2023-02-02

申请号：US17882874

申请日：2022-08-08

Applicant: Amazon Technologies, Inc.

Inventor： Cengiz Erbas ,  Thomas Kollar ,  Avnish Sikka ,  Spyridon Matsoukas ,  Simon Peter Reavely

IPC: G10L15/22 ,  G10L15/06 ,  G10L15/02 ,  G10L15/18

Abstract: A system capable of performing natural language understanding (NLU) on utterances including complex command structures such as sequential commands (e.g., multiple commands in a single utterance), conditional commands (e.g., commands that are only executed if a condition is satisfied), and/or repetitive commands (e.g., commands that are executed until a condition is satisfied). Audio data may be processed using automatic speech recognition (ASR) techniques to obtain text. The text may then be processed using machine learning models that are trained to parse text of incoming utterances. The models may identify complex utterance structures and may identify what command portions of an utterance go with what conditional statements. Machine learning models may also identify what data is needed to determine when the conditionals are true so the system may cause the commands to be executed (and stopped) at the appropriate times.

公开(公告)号：US11410646B1

公开(公告)日：2022-08-09

申请号：US16368399

申请日：2019-03-28

Applicant: Amazon Technologies, Inc.

Inventor： Cengiz Erbas ,  Thomas Kollar ,  Avnish Sikka ,  Spyridon Matsoukas ,  Simon Peter Reavely

IPC: G10L15/22 ,  G10L15/06 ,  G10L15/02 ,  G10L15/18

Abstract: A system capable of performing natural language understanding (NLU) on utterances including complex command structures such as sequential commands (e.g., multiple commands in a single utterance), conditional commands (e.g., commands that are only executed if a condition is satisfied), and/or repetitive commands (e.g., commands that are executed until a condition is satisfied). Audio data may be processed using automatic speech recognition (ASR) techniques to obtain text. The text may then be processed using machine learning models that are trained to parse text of incoming utterances. The models may identify complex utterance structures and may identify what command portions of an utterance go with what conditional statements. Machine learning models may also identify what data is needed to determine when the conditionals are true so the system may cause the commands to be executed (and stopped) at the appropriate times.

公开(公告)号：US12068001B2

公开(公告)日：2024-08-20

申请号：US18243800

申请日：2023-09-08

Applicant: Amazon Technologies, Inc.

Inventor： Harshavardhan Sundar ,  Sheetal Laad ,  Jialiang Bao ,  Ming Sun ,  Chao Wang ,  Chungnam Chan ,  Cengiz Erbas ,  Mathias Jourdain ,  Nipul Bharani ,  Aaron David Wirshba

IPC: G10L25/51 ,  G10L15/06 ,  G10L15/22 ,  G10L25/78

CPC classification number: G10L25/51 ,  G10L15/063 ,  G10L15/22 ,  G10L25/78 ,  G10L2015/0635

Abstract: Techniques for detecting certain acoustic events from audio data are described. A system may perform event aggregation for certain types of events before sending an output to a device representing the event is detected. The system may bypass the event aggregation process for certain types of events that the system may detect with a high level of confidence. In such cases, the system may send an output to the device when the event is detected. The system may be used to detect acoustic events representing presence of a person or other harmful circumstances (such as, fire, smoke, etc.) in a home, an office, a store, or other types of indoor settings.

公开(公告)号：US11783850B1

公开(公告)日：2023-10-10

申请号：US17216840

申请日：2021-03-30

Applicant: Amazon Technologies, Inc.

Inventor： Harshavardhan Sundar ,  Sheetal Laad ,  Jialiang Bao ,  Ming Sun ,  Chao Wang ,  Chungnam Chan ,  Cengiz Erbas ,  Mathias Jourdain ,  Nipul Bharani ,  Aaron David Wirshba

IPC: G10L25/51 ,  G10L25/78 ,  G10L15/06 ,  G10L15/22

CPC classification number: G10L25/51 ,  G10L15/063 ,  G10L15/22 ,  G10L25/78 ,  G10L2015/0635

Abstract: Techniques for detecting certain acoustic events from audio data are described. A system may perform event aggregation for certain types of events before sending an output to a device representing the event is detected. The system may bypass the event aggregation process for certain types of events that the system may detect with a high level of confidence. In such cases, the system may send an output to the device when the event is detected. The system may be used to detect acoustic events representing presence of a person or other harmful circumstances (such as, fire, smoke, etc.) in a home, an office, a store, or other types of indoor settings.