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一个基于谱熵的语音端点检测改进方法 被引量：27

An Improved Speech Endpoint Detection Method Based on Spectral Entropy
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摘要 本文提出了基于谱熵和谱减法相结合的带噪语音端点检测改进算法以及端点检测的判决准则 .仿真实验表明 ,在语音信号受到强噪声的干扰后 (5dB≤SNR≤ 15dB) ,所提方法可检测到准确的语音端点 . In this paper, we propose a new approach based on spectral entropy and spectral subtraction for noisy speech endpoint detection, and discriminative rules with robustness. Simulation experiments show that the accurate speech endpoint can be detected by the proposed method when the detected noisy speech SNR is between 5dB and 15 dB.
作者 王让定 柴佩琪
机构地区 宁波大学纵横智能软件研究所 同济大学人工智能研究室
出处 《信息与控制》 CSCD 北大核心 2004年第1期77-81,共5页 Information and Control
关键词 谱熵 谱减法 端点检测 判决准则 带噪语音 自动语音识别 语音编码 noisy speech endpoint detection spectral entropy discriminant rules
分类号 TN912.34 [电子电信—通信与信息系统] O236 [理学—运筹学与控制论]
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参考文献10

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同被引文献293

引证文献27

二级引证文献150

信息与控制
2004年 第1期

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