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Single channel speech enhancement using a new binary mask in power spectral domain

机译:在功率谱域中使用新的二进制掩码进行单通道语音增强

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The paper proposed by kim et al uses a new binary mask approach to improve speech intelligibility based on noise distortion constraints. In our paper we have proposed to apply the same technique in power spectral domain to study its effects on the overall speech enhancement aspects. Subjective and objective tests were conducted to evaluate the performance of the enhanced speech for various types of noises. The experimental results indicated the improvement in segmental signal-to-noise ratio (SSNR) at 0 and −5 dB input signal-to-noise (SNR) values for helicopter noise. The results are identical for other types of noises such as babble and random noise in both the domains. It is also observed that there is a boost in terms of intelligibility even at low SNR levels (i.e. −5 dB) in the power spectral domain for helicopter noise. We have compared the results with that implemented in magnitude spectral domain.
机译:kim等人提出的论文使用一种新的二进制掩码方法来改善基于噪声失真约束的语音清晰度。在我们的论文中,我们建议在功率谱域中应用相同的技术来研究其对整体语音增强方面的影响。进行了主观和客观测试,以评估各种类型的噪声对增强语音的性能。实验结果表明,在0和-5 dB的直升机噪声输入信噪比(SNR)值下,分段信噪比(SSNR)有所改善。对于其他两个类型的噪声,例如两个域中的混响和随机噪声,结果都是相同的。还观察到,即使在直升机噪声的功率谱域中在低SNR级别(即-5 dB)下,在清晰度方面也有提高。我们将结果与在幅度谱域中实现的结果进行了比较。

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