Invention Grant
- Patent Title: Acoustic change detection for robust automatic speech recognition based on a variance between distance dependent GMM models
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Application No.: US15861037Application Date: 2018-01-03
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Publication No.: US10783882B2Publication Date: 2020-09-22
- Inventor: Osamu Ichikawa , Gakuto Kurata , Takashi Fukuda
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Tutunjian & Bitetto, P.C.
- Agent Vazken Alexanian
- Main IPC: H04M1/725
- IPC: H04M1/725 ; G10L15/20 ; G10L15/02 ; G10L15/08 ; G10L15/06 ; G10L15/07 ; G10L25/51 ; G10L25/24 ; G10L25/27

Abstract:
Acoustic change is detected by a method including preparing a first Gaussian Mixture Model (GMM) trained with first audio data of first speech sound from a speaker at a first distance from an audio interface and a second GMM generated from the first GMM using second audio data of second speech sound from the speaker at a second distance from the audio interface; calculating a first output of the first GMM and a second output of the second GMM by inputting obtained third audio data into the first GMM and the second GMM; and transmitting a notification in response to determining at least that a difference between the first output and the second output exceeds a threshold. Each Gaussian distribution of the second GMM has a mean obtained by shifting a mean of a corresponding Gaussian distribution of the first GMM by a common channel bias.
Public/Granted literature
- US20190206394A1 ACOUSTIC CHANGE DETECTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION Public/Granted day:2019-07-04
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