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A review of deep learning techniques for speech processing
The field of speech processing has undergone a transformative shift with the advent of deep
learning. The use of multiple processing layers has enabled the creation of models capable …
learning. The use of multiple processing layers has enabled the creation of models capable …
Universal speech enhancement with score-based diffusion
Self-supervised speech quality estimation and enhancement using only clean speech
Speech quality estimation has recently undergone a paradigm shift from human-hearing
expert designs to machine-learning models. However, current models rely mainly on …
expert designs to machine-learning models. However, current models rely mainly on …
Universal melgan: A robust neural vocoder for high-fidelity waveform generation in multiple domains
W Jang, D Lim, J Yoon - arxiv preprint arxiv:2011.09631, 2020 - arxiv.org
We propose Universal MelGAN, a vocoder that synthesizes high-fidelity speech in multiple
domains. To preserve sound quality when the MelGAN-based structure is trained with a …
domains. To preserve sound quality when the MelGAN-based structure is trained with a …
Speech enhancement with integration of neural homomorphic synthesis and spectral masking
Speech enhancement refers to suppressing the background noise to improve the perceptual
quality and intelligibility of the observed noisy speech. Recently, speech enhancement …
quality and intelligibility of the observed noisy speech. Recently, speech enhancement …