Invention Grant
- Patent Title: Training acoustic models using distributed computing techniques
- Patent Title (中): 使用分布式计算技术训练声学模型
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Application No.: US13539225Application Date: 2012-06-29
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Publication No.: US08959014B2Publication Date: 2015-02-17
- Inventor: Peng Xu , Fernando Pereira , Ciprian I. Chelba
- Applicant: Peng Xu , Fernando Pereira , Ciprian I. Chelba
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06F17/21
- IPC: G06F17/21 ; G06F17/20 ; G10L15/08 ; G10L15/14 ; G10L15/187 ; G10L15/04 ; G10L15/34

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training acoustic models. Speech data and data identifying a transcription for the speech data are received. A phonetic representation for the transcription is accessed. Training sequences are identified for a particular phone in the phonetic representation. Each of the training sequences includes a different set of contextual phones surrounding the particular phone. A partitioning key is identified based on a sequence of phones that occurs in each of the training sequences. A processing module to which the identified partitioning key is assigned is selected. Data identifying the training sequences and a portion of the speech data are transmitted to the selected processing module.
Public/Granted literature
- US20130006612A1 TRAINING ACOUSTIC MODELS Public/Granted day:2013-01-03
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