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Wavelet speech enhancement based on nonnegative matrix factorization.

, , , , , , и . CoRR, (2016)

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Yousef Jeihouni

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Subband Feature Statistics Normalization Techniques Based on a Discrete Wavelet Transform for Robust Speech Recognition., и . IEEE Signal Process. Lett., 16 (9): 806-809 (2009)Leveraging gain normalization for sub-band temporal features in noise-robust speech recognition., и . FSKD, стр. 1409-1412. IEEE, (2012)Enhancing the Magnitude Spectrum of Speech Features for Robust Speech Recognition., , и . EURASIP J. Adv. Signal Process., (2012)Robust Speech Recognition via Enhancing the Complex-Valued Acoustic Spectrum in Modulation Domain., , и . IEEE ACM Trans. Audio Speech Lang. Process., 24 (2): 236-251 (2016)Cepstral Statistics Compensation Using Online Pseudo Stereo Codebooks for Robust Speech Recognition in Additive Noise Environments.. ICASSP (1), стр. 513-516. IEEE, (2006)Optimization of Temporal Filters in the Modulation Frequency Domain via Constrained Linear Discriminant Analysis (C-LDA) for Constructing Robust Features in Speech Recognition.. ICASSP (4), стр. 805-808. IEEE, (2007)Time-Reversal Enhancement Network With Cross-Domain Information for Noise-Robust Speech Recognition., , , и . IEEE Multim., 29 (1): 114-124 (2022)ConSep: a Noise- and Reverberation-Robust Speech Separation Framework by Magnitude Conditioning., , и . CoRR, (2024)Data-driven temporal filters obtained via different optimization criteria evaluated on Aurora2 database., и . INTERSPEECH, стр. 441-444. ISCA, (2002)Speech enhancement based on the integration of fully convolutional network, temporal lowpass filtering and spectrogram masking., , , и . ROCLING, стр. 226-240. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), (2019)