| This is an Audacity wrapper for the model, forked from the repository mpariente/ConvTasNet_WHAM_sepclean, | |
| This model was trained using the Asteroid library: https://github.com/asteroid-team/asteroid. | |
| metadata: | |
| { 'author': 'mpariente', | |
| 'description': '\n' | |
| 'This model was trained by Manuel Pariente using the ' | |
| 'wham/ConvTasNet recipe in Asteroid. \n' | |
| 'It was trained on the sep_clean task of the WHAM! ' | |
| 'dataset.\n', | |
| 'domain': 'speech separation', | |
| 'effect': 'source-separation', | |
| 'id': 'mpariente/ConvTasNet_WHAM_sepclean', | |
| 'labels': ['source-0', 'source-1'], | |
| 'multichannel': False, | |
| 'name': 'ConvTasNet_WHAM_sepclean', | |
| 'sample_rate': 8000} |