Invention Grant
- Patent Title: Adjusting a deep neural network acoustic model
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Application No.: US15258799Application Date: 2016-09-07
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Publication No.: US10204620B2Publication Date: 2019-02-12
- Inventor: Xiaodong Cui , Vaibhava Goel
- 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: Zilka-Kotab, P.C.
- Main IPC: G10L15/06
- IPC: G10L15/06 ; G10L15/07 ; G10L17/18 ; G10L15/16

Abstract:
A computer-implemented method according to one embodiment includes estimating a speaker dependent acoustic model utilizing test speech data and maximum likelihood linear regression (MLLR), transforming labeled speech data to create transformed speech data, utilizing the speaker dependent acoustic model and a linear transformation, and adjusting a deep neural network (DNN) acoustic model, utilizing the transformed speech data.
Public/Granted literature
- US20180068654A1 ADJUSTING A DEEP NEURAL NETWORK ACOUSTIC MODEL Public/Granted day:2018-03-08
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