Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Evaluation of an ERB frequency scale noise reduction for hearing aids: a comparative study
Speech Communication - Special issue on speech processing for hearing aids
Convex Optimization
A Noise Reduction Method Based on Linear Prediction with Variable Step-Size
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Speech enhancement by map spectral amplitude estimation using a super-Gaussian speech model
EURASIP Journal on Applied Signal Processing
Signal processing in high-end hearing aids: state of the art, challenges, and future trends
EURASIP Journal on Applied Signal Processing
Adaptive β-order generalized spectral subtraction for speech enhancement
Signal Processing
Noise reduction algorithms in a generalized transform domain
IEEE Transactions on Audio, Speech, and Language Processing
Speech Enhancement
New insights into the noise reduction Wiener filter
IEEE Transactions on Audio, Speech, and Language Processing
Improved Subspace-Based Single-Channel Speech Enhancement Using Generalized Super-Gaussian Priors
IEEE Transactions on Audio, Speech, and Language Processing
Study of the Noise-Reduction Problem in the Karhunen–LoÈve Expansion Domain
IEEE Transactions on Audio, Speech, and Language Processing
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This work presents a complementary broadband noise reduction scheme for hearing aid applications. It is designed to attenuate uncorrelated and small-correlation-length acoustic noise with controlled speech distortion. Noisy speech signals are pre-processed by the proposed strategy before being subjected to an existing narrowband noise reduction system. The clean speech signal is estimated by a convex combination of the unprocessed speech signal and the output of a linear predictor. The convex combination coefficient is adjusted to provide noise suppression while avoiding significant unvoiced utterance distortions. The proposed method is optimized to minimize speech mean-square prediction-error. A low-cost adaptive implementation is proposed and compared to the conventional adaptive linear predictor showing an improved performance, as predicted by theory. Four different objective quality measures and subjective assessment performed by normal hearing volunteers indicate that the combined use of the proposed technique with a narrowband noise reduction system consistently improves speech quality for a range of signal to noise ratios. Low-cost digital hearing aids that make use of the conventional adaptive predictor for broadband noise reduction can be easily modified to incorporate the new proposal with a minimum amount of extra computational resources.