Deep neural network Based Low-latency Speech Separation with Asymmetric analysis-Synthesis Window Pair

no code implementations • 22 Jun 2021 • Shanshan Wang, Gaurav Naithani, Archontis Politis, Tuomas Virtanen

Time-frequency masking or spectrum prediction computed via short symmetric windows are commonly used in low-latency deep neural network (DNN) based source separation.

Clustering Deep Clustering +2

Memory Requirement Reduction of Deep Neural Networks Using Low-bit Quantization of Parameters

no code implementations • 1 Nov 2019 • Niccoló Nicodemo, Gaurav Naithani, Konstantinos Drossos, Tuomas Virtanen, Roberto Saletti

The application of the low-bit quantization allows a 50% reduction of the DNN memory footprint while the STOI performance drops only by 2. 7%.

Quantization Speech Enhancement