Invention Grant
- Patent Title: Unsupervised acoustic model training
- Patent Title (中): 无监督声学模型训练
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Application No.: US13592157Application Date: 2012-08-22
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Publication No.: US09401140B1Publication Date: 2016-07-26
- Inventor: Frederick V. Weber , Jeffrey C. O'Neill
- Applicant: Frederick V. Weber , Jeffrey C. O'Neill
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/14 ; G10L15/22 ; G10L17/00

Abstract:
An unsupervised acoustic modeling service for speech recognition is disclosed. A computing device may be present in a listening zone, such as a household or office, and may receive an audio signal that may include speech. In some instances, the speech is not directed to the computing device. Speech recognition results may be generated from the audio signal, using an acoustic model, and the results used to update the acoustic model. For example, the acoustic model may be updated to reflect a particular speaker's pronunciation of certain sound units, such as phonemes. By using speech that is not necessarily directed to the computing device, more data may be available for updating an acoustic model.
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