公开(公告)号：US10679621B1

公开(公告)日：2020-06-09

申请号：US15927764

申请日：2018-03-21

Applicant: Amazon Technologies, Inc.

Inventor： Shiva Kumar Sundaram ,  Minhua Wu ,  Anirudh Raju ,  Spyridon Matsoukas ,  Arindam Mandal ,  Kenichi Kumatani

IPC: G10L15/22 ,  G10L15/187 ,  G10L15/26 ,  G10L15/30 ,  H04R3/00 ,  G10L21/0208 ,  G06F40/40 ,  H04W4/02 ,  G10L21/0216 ,  G10L15/08

Abstract: Systems and methods for utilizing microphone array information for acoustic modeling are disclosed. Audio data may be received from a device having a microphone array configuration. Microphone configuration data may also be received that indicates the configuration of the microphone array. The microphone configuration data may be utilized as an input vector to an acoustic model, along with the audio data, to generate phoneme data. Additionally, the microphone configuration data may be utilized to train and/or generate acoustic models, select an acoustic model to perform speech recognition with, and/or to improve trigger sound detection.

公开(公告)号：US11043214B1

公开(公告)日：2021-06-22

申请号：US16204670

申请日：2018-11-29

Applicant: Amazon Technologies, Inc.

Inventor： Behnam Hedayatnia ,  Anirudh Raju ,  Ankur Gandhe ,  Chandra Prakash Khatri ,  Ariya Rastrow ,  Anushree Venkatesh ,  Arindam Mandal ,  Raefer Christopher Gabriel ,  Ahmad Shikib Mehri

IPC: G10L15/19 ,  G10L15/30 ,  G10L19/00 ,  G10L15/22

Abstract: Described herein is a system for rescoring automatic speech recognition hypotheses for conversational devices that have multi-turn dialogs with a user. The system leverages dialog context by incorporating data related to past user utterances and data related to the system generated response corresponding to the past user utterance. Incorporation of this data improves recognition of a particular user utterance within the dialog.

公开(公告)号：US20210312914A1

公开(公告)日：2021-10-07

申请号：US17340378

申请日：2021-06-07

Applicant: Amazon Technologies, Inc.

Inventor： Behnam Hedayatnia ,  Anirudh Raju ,  Ankur Gandhe ,  Chandra Prakash Khatri ,  Ariya Rastrow ,  Anushree Venkatesh ,  Arindam Mandal ,  Raefer Christopher Gabriel ,  Ahmad Shikib Mehri

IPC: G10L15/19 ,  G10L15/30 ,  G10L19/00 ,  G10L15/22

Abstract: Described herein is a system for rescoring automatic speech recognition hypotheses for conversational devices that have multi-turn dialogs with a user. The system leverages dialog context by incorporating data related to past user utterances and data related to the system generated response corresponding to the past user utterance. Incorporation of this data improves recognition of a particular user utterance within the dialog.

公开(公告)号：US11935525B1

公开(公告)日：2024-03-19

申请号：US16895377

申请日：2020-06-08

Applicant: Amazon Technologies, Inc.

Inventor： Shiva Kumar Sundaram ,  Minhua Wu ,  Anirudh Raju ,  Spyridon Matsoukas ,  Arindam Mandal ,  Kenichi Kumatani

IPC: G10L15/22 ,  G06F40/40 ,  G10L15/187 ,  G10L15/26 ,  G10L15/30 ,  G10L21/0208 ,  H04R3/00 ,  G10L15/08 ,  G10L21/0216 ,  H04W4/02

CPC classification number: G10L15/22 ,  G06F40/40 ,  G10L15/187 ,  G10L15/26 ,  G10L15/30 ,  G10L21/0208 ,  H04R3/005 ,  G10L2015/088 ,  G10L2015/223 ,  G10L2021/02166 ,  H04W4/025

Abstract: Systems and methods for utilizing microphone array information for acoustic modeling are disclosed. Audio data may be received from a device having a microphone array configuration. Microphone configuration data may also be received that indicates the configuration of the microphone array. The microphone configuration data may be utilized as an input vector to an acoustic model, along with the audio data, to generate phoneme data. Additionally, the microphone configuration data may be utilized to train and/or generate acoustic models, select an acoustic model to perform speech recognition with, and/or to improve trigger sound detection.