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公开(公告)号:US11164592B1
公开(公告)日:2021-11-02
申请号:US16408267
申请日:2019-05-09
Applicant: Amazon Technologies, Inc.
Inventor: Biqing Wu , Phil Hetherington , Carlo Murgia , Rong Hu
IPC: G10L21/034 , G10L15/22 , G10L25/60 , G10L25/84
Abstract: A system that performs automatic gain control (AGC) using different decay rates. The system may select a slow decay rate to track a loudness level within speech (e.g., within an utterance), improving audio quality and maintaining dynamic range for an individual voice, while selecting a fast decay rate to track the loudness level after a gap of silence (e.g., no voice activity detected for a duration of time) or during large level changes (e.g., actual speech loudness is lower than estimated speech loudness for a duration of time). This improves an accuracy of the loudness estimate and therefore a responsiveness of the automatic gain control, resulting in an improved user experience.
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公开(公告)号:US12272369B1
公开(公告)日:2025-04-08
申请号:US17578737
申请日:2022-01-19
Applicant: Amazon Technologies, Inc.
Inventor: Amit Singh Chhetri , Mrudula V. Athi , Pradeep Kumar Govindaraju , Rong Hu
IPC: G10L21/0216 , G10L21/0208 , G10L21/10 , G10L25/30
Abstract: A system configured to improve audio processing by performing dereverberation and noise reduction during a communication session. In some examples, the system may include a deep neural network (DNN) configured to perform speech enhancement, which is located after an Acoustic Echo Cancellation (AEC) component. For example, the DNN may process isolated audio data output by the AEC component to jointly mitigate additive noise and reverberation. In other examples, the system may include a DNN configured to perform acoustic interference cancellation, which may jointly mitigate additive noise, reverberation, and residual echo, removing the need to perform residual echo suppression processing. The DNN is configured to process complex-valued spectrograms corresponding to the isolated audio data and/or estimated echo data generated by the AEC component.
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