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Separation (single channel)","语音识别与合成_其他","Source Separation"],"sub_categories":["NN-based separation","网络服务_其他","Text-to-Speech"],"readme":"# Sound Separation\n\nOpen-source datasets and deep learning models for separating sounds.\n\n## Datasets\n\n* [Free Universal Sound Separation (FUSS)](https://github.com/google-research/sound-separation/blob/master/datasets/fuss/FUSS_license_doc/README.md).\n\n* [Audio from YFCC100M videos for mixture-invariant training (MixIT)](https://github.com/google-research/sound-separation/blob/master/datasets/yfcc100m/README.md).\n\n* [Audio-visual YFCC100M with annotations for on-screen sound separation with AudioScope](https://github.com/google-research/sound-separation/blob/master/datasets/audioscope/README.md).\n\n* [Audio-visual YFCC100M with annotations for on-screen sound separation with AudioScopeV2](https://github.com/google-research/sound-separation/blob/master/datasets/audioscope-v2/README.md).\n\n* [Synthetic AMI for speech separation in meeting room scenarios](https://github.com/google-research/sound-separation/blob/master/datasets/synthetic_ami/README.md).\n\n## Models\n\n* [Free Universal Sound Separation (FUSS) baseline separation model](https://github.com/google-research/sound-separation/tree/master/models/dcase2020_fuss_baseline/README.md).\n\n* [Universal unsupervised separation models using mixture invariant training (MixIT)](https://github.com/google-research/sound-separation/tree/master/models/neurips2020_mixit/README.md).\n\n* [Unsupervised separation models for birds using mixture invariant training (MixIT)](https://github.com/google-research/sound-separation/tree/master/models/bird_mixit/README.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle-research%2Fsound-separation","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgoogle-research%2Fsound-separation","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgoogle-research%2Fsound-separation/lists"}