7 citations · 16 across the 6 of their papers we have counts for
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cs.SD2024★ 2 cited
Resource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps
Mattias Nilsson, Riccardo Miccini, Clément Laroche +2
As speech processing systems in mobile and edge devices become more commonplace, the demand for unintrusive speech quality monitoring increases. Deep learning methods provide high-…
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…