公开(公告)号：US09672821B2

公开(公告)日：2017-06-06

申请号：US14835588

申请日：2015-08-25

Applicant: APPLE INC.

Inventor： Arvindh Krishnaswamy ,  Charles P. Clark ,  Sarmad Malik

IPC: G10L15/00 ,  G10L15/20 ,  G10L15/16 ,  G10L21/0208

CPC classification number: G10L15/20 ,  G10L15/16 ,  G10L2021/02082

Abstract: Systems and methods for speech recognition system having a speech processor that is trained to recognize speech by considering (1) a raw microphone signal that includes an echo signal and (2) different types of echo information signals from an echo cancellation system (and optionally different types of ambient noise suppression signals from a noise suppressor). The different types of echo information signals may include those used for echo cancelation and those having echo information. The speech recognition system may convert the raw microphone signal and different types of echo information signals (and optional noise suppression signals) into spectral features in the form of a vector, and a concatenator to combine the feature vectors into a total vector (for a period of time) that is used to train the speech processor, and during use of the speech processor to recognize speech.

公开(公告)号：US20160358602A1

公开(公告)日：2016-12-08

申请号：US14835588

申请日：2015-08-25

Applicant: APPLE INC.

Inventor： Arvindh Krishnaswamy ,  Charles P. Clark ,  Sarmad Malik

IPC: G10L15/20 ,  G10L15/16 ,  G10L21/0208

CPC classification number: G10L15/20 ,  G10L15/16 ,  G10L2021/02082

Abstract: Systems and methods for speech recognition system having a speech processor that is trained to recognize speech by considering (1) a raw microphone signal that includes an echo signal and (2) different types of echo information signals from an echo cancellation system (and optionally different types of ambient noise suppression signals from a noise suppressor). The different types of echo information signals may include those used for echo cancelation and those having echo information. The speech recognition system may convert the raw microphone signal and different types of echo information signals (and optional noise suppression signals) into spectral features in the form of a vector, and a concatenator to combine the feature vectors into a total vector (for a period of time) that is used to train the speech processor, and during use of the speech processor to recognize speech.

Abstract translation: 通过考虑（1）包含回波信号的原始麦克风信号和（2）来自回波消除系统的不同类型的回波信息信号（以及可选地不同的），语音识别系统的系统和方法具有经过训练以识别语音的语音处理器 来自噪声抑制器的环境噪声抑制信号的类型）。 不同类型的回波信息信号可以包括用于回波消除的信号和具有回波信息的信号。 语音识别系统可以将原始麦克风信号和不同类型的回波信息信号（和可选的噪声抑制信号）以矢量的形式转换为频谱特征，以及将特征向量组合成总矢量（一段时间）的级联器 的时间），用于训练语音处理器，并且在语音处理器的使用期间识别语音。