IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Speech enhancement based on a priori signal to noise estimation
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Subjective comparison and evaluation of speech enhancement algorithms
Speech Communication
A multistage approach for blind separation of convolutive speech mixtures
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Speech separation using speaker-adapted eigenvoice speech models
Computer Speech and Language
Signal separation by symmetric adaptive decorrelation: stability,convergence, and uniqueness
IEEE Transactions on Signal Processing
An adaptive noise canceller with low signal distortion for speechcodecs
IEEE Transactions on Signal Processing
Improved Signal-to-Noise Ratio Estimation for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
Computers and Electrical Engineering
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We consider the speech enhancement problem in a moving car through a blind source separation BSS scheme involving two sensors. To correct the distortion brought by this structure we have proposed in previous work (Djendi et al., 2007) two frequency-domain methods to compute the post-filters placed at the output of the forward BSS structure (FBSS). In this work, we consider the case where the noises at the sensor inputs contain coherent and non-coherent components. We provide an analysis of the performance (output SNR and the distortion criterion) of the FBSS structure with post-filters as a function of two new parameters: the coherent to diffuse ratio (CDR) and the speech to coherent ratio (SCR). Simulation results show perfect agreement between theoretical and experimental results.