Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Speech Enhancement (Signals and Communication Technology)
Speech Enhancement (Signals and Communication Technology)
Robust microphone array using subband adaptive beamformer and spectral subtraction
ICCS '02 Proceedings of the The 8th International Conference on Communication Systems - Volume 02
Multichannel direction-independent speech enhancement using spectral amplitude estimation
EURASIP Journal on Applied Signal Processing
Sparse Signal Reconstruction from Noisy Compressive Measurements using Cross Validation
SSP '07 Proceedings of the 2007 IEEE/SP 14th Workshop on Statistical Signal Processing
Compressive sensing for sparsely excited speech signals
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
On compressed sensing and its application to speech and audio signals
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Frequency domain noise suppression approaches in mobile telephone systems
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Enhancement of single channel speech using perceptual-decision-directed approach
Speech Communication
Comparative evaluation of single-channel MMSE-Based noise reduction schemes for speech recognition
Journal of Electrical and Computer Engineering
Speech enhancement based on Sparse Code Shrinkage employing multiple speech models
Speech Communication
IEEE Transactions on Signal Processing
Robust Voice Activity Detection Using Long-Term Signal Variability
IEEE Transactions on Audio, Speech, and Language Processing
Evaluation of Objective Quality Measures for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory
Single-Channel and Multi-Channel Sinusoidal Audio Coding Using Compressed Sensing
IEEE Transactions on Audio, Speech, and Language Processing
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This paper presents an alternative approach to speech enhancement by using compressed sensing (CS). CS is a new sampling theory, which states that sparse signals can be reconstructed from far fewer measurements than the Nyquist sampling. As such, CS can be exploited to reconstruct only the sparse components (e.g., speech) from the mixture of sparse and non-sparse components (e.g., noise). This is possible because in a time-frequency representation, speech signal is sparse whilst most noise is non-sparse. Derivation shows that on average the signal to noise ratio (SNR) in the compressed domain is greater or equal than the uncompressed domain. Experimental results concur with the derivation and the proposed CS scheme achieves better or similar perceptual evaluation of speech quality (PESQ) scores and segmental SNR compared to other conventional methods in a wide range of input SNR.