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Voice Activity Detection for Speaker Verification Systems

机译:说话人验证系统的语音活动检测

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摘要

Complex algorithm for speech activity detection was presented in this article. It is based on speech enhancement, features extraction and final detection algorithm. The first one was published in ETSI standard as a module of "Advanced front-end feature extraction algorithm" in distributed speech recognition system. It consists of two main parts, noise estimatiom and Wiener filtering. For the final detection modified linear prediction coefficients and spectral entropy features are extracted form denoised signal.
机译:本文提出了一种用于语音活动检测的复杂算法。它基于语音增强,特征提取和最终检测算法。第一个是在ETSI标准中作为分布式语音识别系统中“高级前端特征提取算法”模块发布的。它由两个主要部分组成:噪声估计和维纳滤波。对于最终检测,从去噪信号中提取修改后的线性预测系数和频谱熵特征。

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