基于低阶倒谱恢复的骨传导语音增强

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2017-11-01 DOI:10.1109/ISPACS.2017.8266475

Daiki Watanabe, Yosuke Sugiura, T. Shimamura, H. Makinae

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引用次数: 7

摘要

本文提出了一种基于深度神经网络(DNN)的骨传导语音增强方法。针对声道分量只出现在低阶倒谱上的特点，我们对BC语音的低阶倒谱进行恢复，使之接近AC语音的低阶倒谱。实验结果表明，该方法处理后的BC语音比传统方法处理后的BC语音更接近于AC语音。

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Speech enhancement for bone-conducted speech based on low-order cepstrum restoration

In this paper, we propose a bone-conducted (BC) speech enhancement method using a deep neural network (DNN). Focusing on that the vocal tract components appear only on the low-order cepstrum, we restore the low-order cepstrum of BC speech so as to be close to that of AC speech. The results in experiments show that BC speech processed by the proposed method becomes more similar to AC speech than the conventional method.

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来源期刊

2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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