Emrys365
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README.md
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- audio-to-audio
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language: en
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datasets:
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license: cc-by-4.0
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---
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### `wyz/vctk_dns2020_whamr_conv_tasnet_small`
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This model was trained by wyz
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### Demo: How to use in ESPnet2
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enhanced = model(audio[None, :], fs=fs)[0]
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```
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module
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<!-- Generated by scripts/utils/show_enh_score.sh -->
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# RESULTS
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## Environments
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|reverb_et_simu_8ch_multich|1.64|87.62|9.39|9.39|0.00|-9.93|2.86|3.30|3.64|3.58|
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|whamr_tt_mix_single_reverb_max_16k|1.74|89.96|9.31|9.31|0.00|6.20|3.12|3.39|4.02|3.41|
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<!-- Generated by ./scripts/utils/show_enh_score.sh -->
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# RESULTS
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## Environments
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- date: `Wed Feb 14 08:28:52 EST 2024`
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- python version: `3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0]`
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- espnet version: `espnet 202304`
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- pytorch version: `pytorch 2.0.1+cu118`
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- Git hash: `443028662106472c60fe8bd892cb277e5b488651`
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- Commit date: `Thu May 11 03:32:59 2023 +0000`
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## enhanced_test_48k
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- audio-to-audio
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language: en
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datasets:
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- VCTK_DEMAND
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- DNS2020
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- WHAMR
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license: cc-by-4.0
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---
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### `wyz/vctk_dns2020_whamr_conv_tasnet_small`
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This model was trained by wyz based on the universal_se_v1 recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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enhanced = model(audio[None, :], fs=fs)[0]
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```
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<!-- Generated by scripts/utils/show_enh_score.sh -->
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# RESULTS
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## Environments
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|reverb_et_simu_8ch_multich|1.64|87.62|9.39|9.39|0.00|-9.93|2.86|3.30|3.64|3.58|
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|whamr_tt_mix_single_reverb_max_16k|1.74|89.96|9.31|9.31|0.00|6.20|3.12|3.39|4.02|3.41|
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## enhanced_test_48k
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exp_vctk_dns20_whamr/enh_train_enh_conv_tasnet_small_raw/valid.loss.best.pth
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44epoch.pth
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