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System and Method for an Endpoint Detection of Speech for Improved Speech Recognition in Noisy Environments

机译:在嘈杂环境中改善语音识别的语音端点检测系统和方法

摘要

According to a disclosed embodiment, an endpointer determines the background energy of a first portion of a speech signal, and a cepstral computing module extracts one or more features of the first portion. The endpointer calculates an average distance of the first portion based on the features. Subsequently, an energy computing module measures the energy of a second portion of the speech signal, and the cepstral computing module extracts one or more features of the second portion. Based on the features of the second portion, the endpointer calculates a distance of the second portion. Thereafter, the endpointer contrasts the energy of the second portion with the background energy of the first portion, and compares the distance of the second portion with the distance of the first portion. The second portion of the speech signal is classified by the endpointer as speech or non-speech based on the contrast and the comparison.
机译:根据公开的实施例,终结者确定语音信号的第一部分的背景能量,并且倒频谱计算模块提取第一部分的一个或多个特征。终结者根据这些特征计算第一部分的平均距离。随后,能量计算模块测量语音信号的第二部分的能量,并且倒频谱计算模块提取第二部分的一个或多个特征。基于第二部分的特征,终结者计算第二部分的距离。此后,终结者将第二部分的能量与第一部分的背景能量进行对比,并将第二部分的距离与第一部分的距离进行比较。终结者根据对比度和比较将语音信号的第二部分分为语音或非语音。

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