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Frequency-related features derived from phase spectrum for robust speech recognition

Frequency-related features derived from phase spectrum for robust speech recognition
从相位谱导出的频率相关特征,用于稳健的语音识别
批准号:
ARC : DP0209283
负责人:
Prof Kuldip Paliwal
金额:
$17.7万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2002
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2002-01-01 至 2005-12-31

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中文摘要
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英文摘要
Frequency-related features derived from phase spectrum for robust speech recognition. Though the currently available speech recognizers work reasonably well in noise-free environments, their performance deteriorates drastically even in the presence of a small amount of noise. In order to overcome this problem, new frequency-related features are proposed in this project for speech recognition. These features are derived from the phase spectrum of the speech signal, and are expected to be robust to the additive noise distortion. These features will make the speech recognizer less sensitive to noise and will enhance its utility in a number of applications in the telecommunication and business world.
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