An Improved Design for Speech Denoising

Zhou Kong, Yujun Liu, Kesheng Liu, Meilei Jiang
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Abstract

In high-noise environment, the background noises have greatly bad influence on the speech recognition and its transmission quality. The speech extraction and the noise reduction are long-term questions which the communication system has not solved effectively all the while. In this paper, we propose an improved system solution based on the combination of the bone-conduction sensor, a digital signal processor contained denoising algorithms and an active noise reduction part. At the beginning, the bone-conduction sensor is used to gather the voice. Next, the collected noisy speech signal is enhanced with spectral subtraction algorithm. Then the enhanced signal is detected with the improved short-time energy voice activity detection algorithm based on the Mel frequency. Finally we employ the ANR technology in the receiver. We have designed a prototype system based on the wireless platform. The results of tests show that it achieves better progress in anti-noise performance.
一种改进的语音去噪设计
在高噪声环境下,背景噪声对语音识别及其传输质量有很大的影响。语音提取和降噪一直是通信系统中长期没有得到有效解决的问题。本文提出了一种基于骨传导传感器、包含去噪算法的数字信号处理器和主动降噪部分相结合的改进系统解决方案。一开始,骨传导传感器被用来收集声音。然后,对采集到的带噪语音信号进行谱减算法增强。然后利用改进的基于Mel频率的短时能量语音活动检测算法对增强信号进行检测。最后在接收机中应用了ANR技术。我们设计了一个基于无线平台的原型系统。试验结果表明,该方法在抗噪声性能方面取得了较好的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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