ConvTasNet_WHAM_sepclean / metadata.json
{"sample_rate": 8000, "domain_tags": ["speech"], "tags": ["speech separation"], "effect_type": "waveform-to-waveform", "multichannel": false, "labels": ["spk-0", "spk-1"], "short_description": "Use me to separate clean speech! Works with 2 speakers.", "long_description": "This model was trained by Manuel Pariente using the wham/ConvTasNet recipe in Asteroid. It was trained on the sep_clean task of the WHAM! dataset."}