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Front. Inform. Technol. Electron. Eng.  2014, Vol. 15 Issue (12): 1154-1163    DOI: 10.1631/jzus.C1400085
    
Speech enhancement with a GSC-like structure employing sparse coding
Li-chun Yang, Yun-tao Qian
College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; Intelligent Control Research Institute, Zhejiang Wanli University, Ningbo 315101, China
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Abstract  Speech communication is often influenced by various types of interfering signals. To improve the quality of the desired signal, a generalized sidelobe canceller (GSC), which uses a reference signal to estimate the interfering signal, is attracting attention of researchers. However, the interference suppression of GSC is limited since a little residual desired signal leaks into the reference signal. To overcome this problem, we use sparse coding to suppress the residual desired signal while preserving the reference signal. Sparse coding with the learned dictionary is usually used to reconstruct the desired signal. As the training samples of a desired signal for dictionary learning are not observable in the real environment, the reconstructed desired signal may contain a lot of residual interfering signal. In contrast, the training samples of the interfering signal during the absence of the desired signal for interferer dictionary learning can be achieved through voice activity detection (VAD). Since the reference signal of an interfering signal is coherent to the interferer dictionary, it can be well restructured by sparse coding, while the residual desired signal will be removed. The performance of GSC will be improved since the estimate of the interfering signal with the proposed reference signal is more accurate than ever. Simulation and experiments on a real acoustic environment show that our proposed method is effective in suppressing interfering signals.

Key words： Generalized sidelobe canceller      Speech enhancement      Voice activity detection      Dictionary learning      Sparse coding     
Received: 09 March 2014      Published: 05 December 2014
CLC:  TN912.35  
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Li-chun Yang, Yun-tao Qian. Speech enhancement with a GSC-like structure employing sparse coding. Front. Inform. Technol. Electron. Eng., 2014, 15(12): 1154-1163.

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http://www.zjujournals.com/xueshu/fitee/10.1631/jzus.C1400085     OR     http://www.zjujournals.com/xueshu/fitee/Y2014/V15/I12/1154


基于稀疏编码的广义旁瓣抵消器语音增强算法

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关键词： 广义旁瓣抵消器,  语音增强,  语音活动检测,  字典学习,  稀疏编码 
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