- 专利标题: Dynamic tempered sampling in generative models inference
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申请号: US16718333申请日: 2019-12-18
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公开(公告)号: US11620979B2公开(公告)日: 2023-04-04
- 发明人: Pablo Barrera Gonzalez
- 申请人: Google LLC
- 申请人地址: US CA Mountain View
- 专利权人: Google LLC
- 当前专利权人: Google LLC
- 当前专利权人地址: US CA Mountain View
- 代理机构: Honigman LLP
- 代理商 Brett A. Krueger
- 主分类号: G10L13/00
- IPC分类号: G10L13/00 ; G10L13/047 ; G10L19/005 ; G06N3/04 ; G10L25/30
摘要:
A method of sampling output audio samples includes, during a packet loss concealment event, obtaining a sequence of previous output audio samples. At each time step during the event, the method includes generating a probability distribution over possible output audio samples for the time step. Each sample includes a respective probability indicating a likelihood that the corresponding sample represents a portion of an utterance at the time step. The method also includes determining a temperature sampling value based on a function of a number of time steps that precedes the time step, and an initial, a minimum, and a maximum temperature sampling value. The method also includes applying the temperature sampling value to the probability distribution to adjust a probability of selecting possible samples and randomly selecting one of the possible samples based on the adjusted probability. The method also includes generating synthesized speech using the randomly selected sample.
公开/授权文献
- US20210193111A1 Dynamic Tempered Sampling in Generative Models Inference 公开/授权日:2021-06-24
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