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Noisy Speech Enhancement Using Harmonic-Noise Model and Codebook-Based Post-Processing

机译:使用谐波噪声模型和基于码本的后处理进行噪声语音增强

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This paper presents a post-processing speech restoration module for enhancing the performance of conventional speech enhancement methods. The restoration module aims to retrieve parts of speech spectrum that may be lost to noise or suppressed when using conventional speech enhancement methods. The proposed restoration method utilizes a harmonic plus noise model (HNM) of speech to retrieve damaged speech structure. A modified HNM of speech is proposed where, instead of the conventional binary labeling of the signal in each subband as voiced or unvoiced, the concept of harmonicity is introduced which is more adaptable to the codebook mapping method used in the later stage of enhancement. To restore the lost or suppressed information, an HNM codebook mapping technique is proposed. The HNM codebook is trained on speaker-independent speech data. To reduce the sensitivity of the HNM codebook to speaker variability, a spectral energy normalization process is introduced. The proposed post-processing method is tested as an add-on module with several popular noise reduction methods. Evaluations of the performance gain obtained from the proposed post-processing are presented and compared to standard speech enhancement systems which show substantial improvement gains in perceptual quality
机译:本文提出了一种用于增强常规语音增强方法性能的后处理语音恢复模块。恢复模块旨在检索使用传统语音增强方法时可能丢失或被抑制的部分语音频谱。所提出的恢复方法利用语音的谐波加噪声模型(HNM)来恢复受损的语音结构。提出了一种改进的语音HNM,其中引入了泛音的概念,而不是对每个子带中的信号进行常规的二进制标记,无论是浊音还是清音,它都更适合于后期增强中使用的码本映射方法。为了恢复丢失或被抑制的信息,提出了一种HNM码本映射技术。 HNM码本是针对与说话者无关的语音数据进行训练的。为了降低HNM码本对说话人可变性的敏感性,引入了频谱能量归一化过程。所提议的后处理方法已作为具有多种常用降噪方法的附加模块进行了测试。提出了对从提议的后处理中获得的性能增益的评估,并将其与标准语音增强系统进行了比较,该系统显示出感知质量方面的显着改进

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