公开(公告)号：WO2017116532A1

公开(公告)日：2017-07-06

申请号：PCT/US2016/057441

申请日：2016-10-18

Applicant: GOOGLE INC.

Inventor： BUCHNER, Herbert ,  GODSILL, Simon J. ,  SKOGLUND, Jan

IPC: G10L21/0216 ,  G10L21/0232

CPC classification number: G10L19/26 ,  G10L21/0208 ,  G10L21/0216 ,  G10L21/0224 ,  G10L21/0232 ,  G10L21/028 ,  G10L2021/02161 ,  G10L2021/02165 ,  H04R2410/05

Abstract: Provided are methods and systems for acoustic keystroke transient cancellation/suppression for user communication devices using a semi-blind adaptive filter model. The methods and systems are designed to overcome existing problems in transient noise suppression by taking into account some less-defective signal as side information on the transients and also accounting for acoustic signal propagation, including the reverberation effects, using dynamic models. The methods and systems take advantage of a synchronous reference microphone embedded in the keyboard of the user device, and utilize an adaptive filtering approach exploiting the knowledge of this keybed microphone signal.

Abstract translation: 提供了用于使用半盲自适应滤波器模型的用于用户通信设备的声学击键瞬态消除/抑制的方法和系统。 这些方法和系统被设计用于通过考虑一些较少缺陷的信号作为瞬变的辅助信息来克服在瞬态噪声抑制中存在的问题，并且还使用动态模型考虑声信号传播，包括混响效应。 该方法和系统利用嵌入在用户设备的键盘中的同步参考麦克风，并利用利用该键控麦克风信号的知识的自适应滤波方法。

公开(公告)号：WO2016111892A1

公开(公告)日：2016-07-14

申请号：PCT/US2015/068045

申请日：2015-12-30

Applicant: GOOGLE INC.

Inventor： GODSILL, Simon J. ,  BUCHNER, Herbert ,  SKOGLUND, Jan

IPC: G10L21/0216 ,  G10L21/0272

CPC classification number: G10L21/0208 ,  G10L21/0216 ,  G10L21/0272 ,  G10L2021/02165 ,  H04R3/002 ,  H04R2410/03

Abstract: Provided are methods and systems for enhancing speech when corrupted by transient noise (e.g., keyboard typing noise). The methods and systems utilize a reference microphone input signal for the transient noise in a signal restoration process used for the voice part of the signal. A robust Bayesian statistical model is used to regress the voice microphone on the reference microphone, which allows for direct inference about the desired voice signal while marginalizing the unwanted power spectral values of the voice and transient noise. Also provided is a straightforward and efficient Expectation-maximization (EM) procedure for fast enhancement of the corrupted signal. The methods and systems are designed to operate easily in real-time on standard hardware, and have very low latency so that there is no irritating delay in speaker response.

Abstract translation: 提供了当被瞬态噪声（例如键盘打字噪声）损坏时增强语音的方法和系统。 该方法和系统在用于信号的语音部分的信号恢复过程中利用用于瞬态噪声的参考麦克风输入信号。 鲁棒的贝叶斯统计模型用于回归参考麦克风上的语音麦克风，这允许对所需语音信号的直接推断，同时边缘化语音和瞬态噪声的不需要的功率谱值。 还提供了一种直接有效的期望最大化（EM）程序，用于快速增强损坏的信号。 这些方法和系统被设计为能够在标准硬件上实时地进行操作，并且具有非常低的延迟，使得扬声器响应没有刺激性的延迟。