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A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre.

, , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (5): 875-889 (2016)

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Perceptually based speech enhancement using the weighted beta-SA estimator., and . ICASSP, page 4193-4196. IEEE, (2008)Noise-adaptive Deep Neural Network for single-channel speech enhancement., , , and . MLSP, page 1-6. IEEE, (2018)Training and compensation of class-conditioned NMF bases for speech enhancement., , , and . Neurocomputing, (2018)Bayesian STSA estimation using masking properties and generalized Gamma prior for speech enhancement., , , and . EURASIP J. Adv. Signal Process., (2015)Electroencephalogram (EEG) recordings obtained when simultaneously presenting audio stimulations., , and . (August 2019)A Comparison of ECG Waveform Features for the Classification of Normal and Abnormal Heartbeats., , and . CinC, page 1-4. www.cinc.org, (2018)A Flexible Bio-Inspired Hierarchical Model for Analyzing Musical Timbre., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 24 (5): 875-889 (2016)Novel metrics to measure the effect of additive inputs on the activity of sensory system neurons., , , , and . EMBC, page 5141-5145. IEEE, (2019)On the use of a codebook-based modeling approach for Bayesian STSA speech enhancement., , and . CCECE, page 1277-1282. IEEE, (2015)Regularized NMF-based speech enhancement with spectral components modeled by gaussian mixtures., , and . MLSP, page 1-6. IEEE, (2014)