Invention Grant
US08886535B2 Utilizing multiple processing units for rapid training of hidden markov models
有权
利用多个处理单元快速训练隐马尔可夫模型
- Patent Title: Utilizing multiple processing units for rapid training of hidden markov models
- Patent Title (中): 利用多个处理单元快速训练隐马尔可夫模型
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Application No.: US14162415Application Date: 2014-01-23
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Publication No.: US08886535B2Publication Date: 2014-11-11
- Inventor: Jike Chong , Ian Richard Lane , Senaka Wimal Buthpitiya
- Applicant: Accumente, LLC
- Applicant Address: US CA Sunnyvale
- Assignee: Accumente, LLC
- Current Assignee: Accumente, LLC
- Current Assignee Address: US CA Sunnyvale
- Agency: Beyer Law Group LLP
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/14 ; G10L15/06

Abstract:
A method of optimizing the calculation of matching scores between phone states and acoustic frames across a matrix of an expected progression of phone states aligned with an observed progression of acoustic frames within an utterance is provided. The matrix has a plurality of cells associated with a characteristic acoustic frame and a characteristic phone state. A first set and second set of cells that meet a threshold probability of matching a first phone state or a second phone state, respectively, are determined. The phone states are stored on a local cache of a first core and a second core, respectively. The first and second sets of cells are also provided to the first core and second core, respectively. Further, matching scores of each characteristic state and characteristic observation of each cell of the first set of cells and of the second set of cells are calculated.
Public/Granted literature
- US20140142942A1 UTILIZING MULTIPLE PROCESSING UNITS FOR RAPID TRAINING OF HIDDEN MARKOV MODELS Public/Granted day:2014-05-22
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