Evaluation of an ERB frequency scale noise reduction for hearing aids: a comparative study
Speech Communication - Special issue on speech processing for hearing aids
Wavelet speech enhancement based on time-scale adaptation
Speech Communication
Uniform and warped low delay filter-banks for speech enhancement
Speech Communication
Speech enhancement by map spectral amplitude estimation using a super-Gaussian speech model
EURASIP Journal on Applied Signal Processing
A noise reduction preprocessor for mobile voice communication
EURASIP Journal on Applied Signal Processing
Wavelet-Based Speech Enhancement Using Time-Adapted Noise Estimation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
EURASIP Journal on Advances in Signal Processing - Special issue on digital signal processing for hearing instruments
MMSE estimation of log-filterbank energies for robust speech recognition
Speech Communication
Generalized gamma distributed Bayesian estimator under speech presence probability
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
LVA/ICA'12 Proceedings of the 10th international conference on Latent Variable Analysis and Signal Separation
International Journal of Speech Technology
Speech enhancement using generalized weighted β-order spectral amplitude estimator
Speech Communication
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Speech enhancement algorithms which are based on estimating the short-time spectral amplitude of the clean speech have better performance when a soft-decision gain modification, depending on the a priori probability of speech absence, is used. In reported works a fixed probability, q, is assumed. Since speech is non-stationary and may not be present in every frequency bin when voiced, we propose a method for estimating distinct values of q for different bins which are tracked in time. The estimation is based on a decision-theoretic approach for setting a threshold in each bin followed by short-time averaging. The estimated q's are used to control both the gain and the update of the estimated noise spectrum during speech presence in a modified MMSE log-spectral amplitude estimator. Subjective tests resulted in higher scores than for the IS-127 standard enhancement algorithm, when pre-processing noisy speech for a coding application.