公开(公告)号：WO2017123814A1

公开(公告)日：2017-07-20

申请号：PCT/US2017/013260

申请日：2017-01-12

Applicant: KNOWLES ELECTRONICS, LLC

Inventor： BERNARD, Alexis ,  RAO, Chetan S.

IPC: G10L15/20 ,  G10L15/34

CPC classification number: G10L15/22 ,  G10L15/20 ,  G10L15/30 ,  G10L15/34 ,  G10L21/0232 ,  G10L25/60 ,  G10L2015/223 ,  G10L2021/02082 ,  G10L2021/02165

Abstract: Systems and methods for assisting automatic speech recognition (ASR) are provided. An example method includes generating, by a mobile device, a plurality of instantiations of a speech component in a captured audio signal, each instantiation of the plurality of instantiations being in support of a particular hypothesis regarding the speech component. At least two instantiations of the plurality of instantiations are then sent to a remote ASR engine. The remote ASR engine is configured to recognize at least one word based on the at least two of the plurality of instantiations and a user context, according to various embodiments. This recognition can include selecting one of the instantiations of the speech component from the plurality of instantiations. The plurality of instantiations may be generated by noise suppression of the captured audio signal with different degrees of aggressiveness. In some embodiments, the plurality of instantiations is generated by synthesizing the speech component from synthetic speech parameters obtained by a spectral analysis of the captured audio signal.

Abstract translation: 提供了用于辅助自动语音识别（ASR）的系统和方法。 示例方法包括由移动设备生成捕获的音频信号中的语音分量的多个实例，所述多个实例中的每个实例都支持关于语音分量的特定假设。 然后将多个实例的至少两个实例发送到远程ASR引擎。 根据各种实施例，远程ASR引擎被配置为基于多个实例化和用户上下文中的至少两个识别至少一个词。 该识别可以包括从多个实例中选择语音分量的实例之一。 多个实例化可以通过以不同程度的侵略性对捕获的音频信号进行噪声抑制来生成。 在一些实施例中，通过合成来自通过捕获的音频信号的频谱分析获得的合成语音参数的语音分量来生成多个实例。