most citedResource-Efficient Speech Quality Prediction through Quantization Aware Training and Binary Activation Maps

2 citations · 2 across the 1 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-…