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清华大学关于语音端点检测的论文 清华大学关于语音端点检测的论文-Tsinghua University, on Speech Endpoint Detection Tsinghua University dissertation on the voice activity detection paper on Speech Endpoint Detection Tsinghua papers
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Voice enabled applications over the Internet are
rapidly gaining popularity. Reducing the total bandwidth require-
ment can make a non-trivial difference for the subscribers having
low speed connectivity. Voice Activity Detection algorithms for
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一种用于3G 系统中复杂背景噪声环境下的话音激活检测算法-One for 3G systems under complex background noise environment, voice activity detection algorithm
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In this paper we propose a method for voice
activity detection (VAD) in a speech signal recorded in the
presence of noise. The so-called endpoint detection (EPD),
i.e., detection of voice activity (speech) boundaries is very
difficult if the
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IEEE上下载的话音激活检测算法的几篇英文经典文档-THE VOICE ACTIVITY DETECTOR FOR THE PAN-EUROPEAN DIGITAL
CELLULAR MOBILE TELEPHONE SERVICE
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Novel Voice Activity Detection Based on Vector Quantization
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voice activity detection for isolated speech
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voice activity detection
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In this paper we present a robust voice activity detection
algorithm which enables further bit rate reduction for practical
speech communication systems. -In this paper we present a robust voice activity detection
algorithm which e
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Voice Activity Detection. Fundamentals and
Speech Recognition System Robustne-Voice Activity Detection. Fundamentals and
Speech Recognition System Robustness
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本书是关于语音活动检测新方法的期刊，文中提出了统计学习理论-This book is about a new voice activity detection method of journals, this paper put forward the statistical learning theory
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Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These
parameters must often be estimated from noisy observations since speech signals are
r
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一种基于mel域的语音端点检测算法，简单易行，效果还不错！-mel voice activity detection
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Robust voice activity detection using long-term signal
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it is about voice activity detection.when we have a speech consists of voice and noise it detects the end points of voice by using energy and zero crossing rates.just specify your speech file path in code.
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