论文信息 - Cepstrum based deconvolution for speech dereverberation

Cepstrum based deconvolution for speech dereverberation

We propose an algorithm for the restoration of speech that has been degraded through addition of multiple echoes. The proposed scheme processes the outputs of two microphones using cepstra operations and the theory of signal reconstruction from phase only. Under mild assumptions it reconstructs the room impulse response associated with each microphone and restores the speech signal. We demonstrate the performance of the proposed scheme using speech reverberated by simulated room acoustics.<<ETX>>

Athina P. Petropulu | Suresh Subramaniam | A. Petropulu | S. Subramaniam | C. Wendt

[1] Jont B. Allen,et al. Invertibility of a room impulse response , 1979 .

[2] Alan V. Oppenheim,et al. Discrete-Time Signal Pro-cessing , 1989 .

[3] A. Oppenheim,et al. Signal reconstruction from phase or magnitude , 1980 .

[4] John Mourjopoulos,et al. A comparative study of least-squares and homomorphic techniques for the inversion of mixed phase signals , 1982, ICASSP.

[5] Jont B. Allen,et al. Image method for efficiently simulating small‐room acoustics , 1976 .

[6] Athina P. Petropulu,et al. Signal reconstruction from the phase of the bispectrum , 1992, IEEE Trans. Signal Process..

[7] A.P. Petropulu. Identifiability of blind deconvolution of non-white signals , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[8] J. Flanagan,et al. Computer‐steered microphone arrays for sound transduction in large rooms , 1985 .

[9] Bernard Widrow,et al. Adaptive Signal Processing , 1985 .

[10] C. L. Nikias,et al. Higher-order spectra analysis : a nonlinear signal processing framework , 1993 .

[11] Athina P. Petropulu,et al. Blind convolution using signal reconstruction from partial higher order cepstral information , 1993, IEEE Trans. Signal Process..