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---
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.
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