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首页> 外文会议>European Conference on Speech Communication and Technology v.3; 20010903-20010907; Aalborg; DK >Speech/Noise-Dominant Decision for Speech Enhancement
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Speech/Noise-Dominant Decision for Speech Enhancement

机译：语音/占主导地位的语音增强决策

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摘要

A novel method to reduce additive non-stationary noise is proposed. The proposed method requires neither the statistical assumption about noise nor the estimate of the noise statistics from any pause regions. The enhancement is performed on a band-by-band basis for each time frame. Based on both the decision on whether a particular band in a frame is speech or noise dominant and the masking property of the human auditory system, an appropriate amount of noise is reduced using modified spectral subtraction. The proposed method was tested on various noisy conditions - car noise, F16 noise, white Gaussian noise, pink noise, tank noise and babble noise. On the basis of comparing segmental SNR with spectral subtraction proposed by Boll with pause detection for estimating noise, and visually inspecting the enhanced spectrograms and listening to the enhanced speech, the proposed method was found to effectively reduce various noise while minimizing distortion to speech.
机译：提出了一种减少加性非平稳噪声的新方法。所提出的方法既不需要关于噪声的统计假设，也不需要来自任何暂停区域的噪声统计的估计。对于每个时间帧，在逐个频带的基础上执行增强。基于对帧中特定频带是语音还是噪声为主的决定以及人类听觉系统的掩蔽特性，可以使用修改后的频谱减法来减少适当数量的噪声。所提出的方法在各种嘈杂条件下进行了测试-汽车噪声，F16噪声，高斯白噪声，粉红色噪声，油箱噪声和ba声。在将分段SNR与Boll提出的频谱减法与具有暂停检测功能的频谱减法进行比较以估计噪声，并目视检查增强的频谱图并聆听增强的语音后，发现该方法可有效减少各种噪声，同时将语音失真降至最低。

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