| tags: | |
| - asteroid | |
| - audio | |
| - FasNet-TAC | |
| - audio-to-audio | |
| - multichannel | |
| - beamforming | |
| datasets: | |
| - TACDataset | |
| - sep_noisy | |
| license: cc-by-sa-4.0 | |
| ## Asteroid model `Samuele Cornell/FasNetTAC_TACDataset_separatenoisy` | |
| Imported from [Zenodo](https://zenodo.org/record/4557489) | |
| ### Description: | |
| This model was trained by popcornell using the TAC/TAC recipe in Asteroid. It was trained on the separate_noisy task of the TACDataset dataset. | |
| ### Training config: | |
| ```yaml | |
| data: | |
| dev_json: ./data/validation.json | |
| sample_rate: 16000 | |
| segment: None | |
| test_json: ./data/test.json | |
| train_json: ./data/train.json | |
| net: | |
| chunk_size: 50 | |
| context_ms: 16 | |
| enc_dim: 64 | |
| feature_dim: 64 | |
| hidden_dim: 128 | |
| hop_size: 25 | |
| n_layers: 4 | |
| n_src: 2 | |
| window_ms: 4 | |
| optim: | |
| lr: 0.001 | |
| weight_decay: 1e-06 | |
| training: | |
| accumulate_batches: 1 | |
| batch_size: 8 | |
| early_stop: True | |
| epochs: 200 | |
| gradient_clipping: 5 | |
| half_lr: True | |
| num_workers: 8 | |
| patience: 30 | |
| save_top_k: 10 | |
| ``` | |
| ### Results: | |
| ```yaml | |
| si_sdr: 10.871864315894744 | |
| si_sdr_imp: 11.322284052560262 | |
| ``` | |
| ### License notice: | |
| This work "FasNetTAC_TACDataset_separatenoisy" is a derivative of LibriSpeech ASR corpus by Vassil Panayotov, used under CC BY 4.0; of End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation by Yi Luo, Zhuo Chen, Nima Mesgarani, Takuya Yoshioka, used under CC BY 4.0. "FasNetTAC_TACDataset_separatenoisy" is licensed under Attribution-ShareAlike 3.0 Unported by popcornell. | |