Invention Grant
- Patent Title: Parameter learning in a hidden trajectory model
- Patent Title (中): 隐藏轨迹模型中的参数学习
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Application No.: US13182971Application Date: 2011-07-14
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Publication No.: US08942978B2Publication Date: 2015-01-27
- Inventor: Li Deng , Dong Yu , Xiaolong Li , Alejandro Acero
- Applicant: Li Deng , Dong Yu , Xiaolong Li , Alejandro Acero
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agent Micky Minhas; Judy Yee; Sandy Swain
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/06

Abstract:
Parameters for distributions of a hidden trajectory model including means and variances are estimated using an acoustic likelihood function for observation vectors as an objection function for optimization. The estimation includes only acoustic data and not any intermediate estimate on hidden dynamic variables. Gradient ascent methods can be developed for optimizing the acoustic likelihood function.
Public/Granted literature
- US20110270610A1 PARAMETER LEARNING IN A HIDDEN TRAJECTORY MODEL Public/Granted day:2011-11-03
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