ConvTasNet_WHAM_sepclean / metadata.json
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{"sample_rate": 8000, "domain_tags": ["speech", "music", "environmental", "other"], "tags": ["speech separation"], "effect_type": "source-separation", "multichannel": false, "labels": ["spk-0", "spk-1"], "short_description": "\nA model for separating 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."}