Invention Grant
- Patent Title: Adaptive neural network speech recognition models
- Patent Title (中): 自适应神经网络语音识别模型
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Application No.: US13836141Application Date: 2013-03-15
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Publication No.: US09153231B1Publication Date: 2015-10-06
- Inventor: Stan Weidner Salvador , Frederick Victor Weber
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US NV Reno
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US NV Reno
- Agency: Seyfarth Shaw LLP
- Agent Ilan N. Barzilay; Cyrus A. Miller
- Main IPC: G10L15/00
- IPC: G10L15/00 ; G10L15/16 ; G10L15/065 ; G06N3/02

Abstract:
Neural networks may be used in certain automatic speech recognition systems. To improve performance of these neural networks, they may be updated/retrained during run time by training the neural network based on the output of a speech recognition system or based on the output of the neural networks themselves. The outputs may include weighted outputs, lattices, weighted N-best lists, or the like. The neural networks may be acoustic model neural networks or language model neural networks. The neural networks may be retrained after each pass through the network, after each utterance, or in varying time scales.
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