Blind dereverberation algorithm for speech signals based on multi-channel linear prediction

• Published in: Acoustical Science and Technology Vol. 26; no. 5; pp. 432 - 439
• Main Authors: Delcroix, Marc, Hikichi, Takafumi, Miyoshi, Masato
• Format: Journal Article
• Language: English
• Published: Tokyo ACOUSTICAL SOCIETY OF JAPAN 01.01.2005; Acoustical Society of Japan; Japan Science and Technology Agency
• Subjects: Acoustic signal processing; Acoustics; Autoregressive process; Blind dereverberation; Exact sciences and technology; Fundamental areas of phenomenology (including applications); Linear prediction; Multi-channel; Physics; Prediction filters; Acoustic reverberation; Multi-channel; Multichannel transmission; Noise reduction; Random excitation; Voiced signal; Prediction filters; Autoregressive model; Modeling; 43.72.Ew; Linear prediction; Blind dereverberation; Filter; Signal processing; Potential method; Autoregressive process 43.60.Pt
• ISSN: 1346-3969; 1347-5177
• DOI: 10.1250/ast.26.432

This paper proposes an algorithm for the blind dereverberation of speech signals based on multi-channel linear prediction. Traditional dereverberation methods usually perform well when the input signal is white noise. However, when dealing with colored signals generated by an autoregressive process such as speech, the generating autoregressive process is deconvolved causing excessive whitening of the signal. We overcome this whitening problem by estimating the generating autoregressive process based on multichannel linear prediction and applying this estimated process to the whitened signal so that the input signal can be recovered. Simulation results show the good potential of the proposed method.