论文信息 - Multichannel Signal Enhancement in the STFT Domain

Multichannel Signal Enhancement in the STFT Domain

In Chapter , we exploited the temporal (and spectral) information from a single sensor signal to derive different variable span (VS) linear filters for noise reduction in the STFT domain. In this chapter, we exploit the spatial information available from signals picked up by a determined number of microphones at different positions in the acoustics space in order to mitigate the noise effect . The processing is performed in the STFT domain.

Jacob Benesty | Mads Græsbøll Christensen | Jesper Jensen

[1] Israel Cohen,et al. Relaxed statistical model for speech enhancement and a priori SNR estimation , 2005, IEEE Transactions on Speech and Audio Processing.

[2] Richard C. Hendriks,et al. Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[3] Israel Cohen,et al. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging , 2003, IEEE Trans. Speech Audio Process..

[4] Israel Cohen,et al. System Identification in the Short-Time Fourier Transform Domain With Crossband Filtering , 2007, IEEE Transactions on Audio, Speech, and Language Processing.

[5] L. J. Griffiths,et al. An alternative approach to linearly constrained adaptive beamforming , 1982 .

[6] Eric John Diethorn. Subband noise reduction methods for speech enhancement , 2000 .

[7] Rainer Martin,et al. Noise power spectral density estimation based on optimal smoothing and minimum statistics , 2001, IEEE Trans. Speech Audio Process..

[8] Wonyong Sung,et al. A statistical model-based voice activity detection , 1999, IEEE Signal Processing Letters.

[9] Michael S. Brandstein,et al. Microphone Arrays - Signal Processing Techniques and Applications , 2001, Microphone Arrays.

[10] Israel Cohen,et al. Speech spectral modeling and enhancement based on autoregressive conditional heteroscedasticity models , 2006, Signal Process..