7 citations · 13 across the 6 of their papers we have counts for
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cs.SD2023★ 7 cited
Dynamic nsNet2: Efficient Deep Noise Suppression with Early Exiting
Riccardo Miccini, Alaa Zniber, Clément Laroche +6
Although deep learning has made strides in the field of deep noise suppression, leveraging deep architectures on resource-constrained devices still proved challenging. Therefore, w…
eess.AS2023
On Crowdsourcing-design with Comparison Category Rating for Evaluating Speech Enhancement Algorithms
Angélica S. Z. Suárez, Clément Laroche, Line H. Clemmensen +1
Speech enhancement techniques improve the quality or the intelligibility of an audio signal by removing unwanted noise. It is used as preprocessing in numerous applications such as…