# ConvTasNet architecture

Audio source separation model trained on the Asteroid framework, optimized for speech separation tasks at 8kHz sampling rate

ConvTasNet model trained on the Asteroid framework for single-channel speech enhancement tasks

ConvTasNet model trained on the Asteroid framework for speech separation tasks at 8kHz sampling rate, trained on the Libri2Mix dataset.

ConvTasNet model trained on the Asteroid framework for noisy speech separation tasks, trained on the Libri2Mix dataset.

ConvTasNet model trained on the Asteroid framework for single-channel speech enhancement tasks, trained on the Libri1Mix dataset.

ConvTasNet model trained based on the Asteroid framework for separating noise and speech signals from mixed audio.

A ConvTasNet model trained based on the Asteroid framework, designed to separate 3 independent audio sources from mixed audio, specifically optimized for noisy speech data at 8kHz sampling rate.

A ConvTasNet model trained on the Asteroid framework for speech separation tasks, trained on the Libri3Mix dataset, supporting 16kHz sample rate audio input.