Speech enhancement using sub-band adaptive Griffiths--Jim signal processing
Speech Communication - Special issue on speech processing for hearing aids
Computational Auditory Scene Analysis: Principles, Algorithms, and Applications
Computational Auditory Scene Analysis: Principles, Algorithms, and Applications
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
Speech Processing in Support of Human-Human Communication (Invited Paper)
ISUC '08 Proceedings of the 2008 Second International Symposium on Universal Communication
A Two-Microphone Noise Reduction Method in Highly Non-stationary Multiple-Noise-Source Environments
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Binaural Noise Reduction Algorithms for Hearing Aids That Preserve Interaural Time Delay Cues
IEEE Transactions on Signal Processing
Signal enhancement using beamforming and nonstationarity withapplications to speech
IEEE Transactions on Signal Processing
Performance measurement in blind audio source separation
IEEE Transactions on Audio, Speech, and Language Processing
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Speech enhancement has been researched extensively for many years to provide high-quality speech communication in the presence of background noise and concurrent interference signals. Human listening is robust against these acoustic interferences using only two ears, but state-of-the-art two-channel algorithms function poorly. Motivated by psychoacoustic studies of binaural hearing (equalization-cancellation (EC) theory), in this paper, we propose a two-stage binaural speech enhancement with Wiener filter (TS-BASE/WF) approach that is a two-input two-output system. In this proposed TS-BASE/WF, interference signals are first estimated by equalizing and cancelling the target signal in a way inspired by the EC theory, a time-variant Wiener filter is then applied to enhance the target signal given the noisy mixture signals. The main advantages of the proposed TS-BASE/WF are (1) effectiveness in dealing with non-stationary multiple-source interference signals, and (2) success in preserving binaural cues after processing. These advantages were confirmed according to the comprehensive objective and subjective evaluations in different acoustical spatial configurations in terms of speech enhancement and binaural cue preservation.