Vctk Dns2020 Whamr Tfgridnet Xxtiny

--- tags: - espnet - audio - audio-to-audio language: en datasets: - VCTK_DEMAND - DNS2020 - WHAMR license: cc-by-4.0 --- ## ESPnet2 ENH model ### `wyz/vctk_dns2020_whamr_tfgridnet_xxtiny` This model was trained by wyz based on the universal_se_v1 recipe in [espnet](https://github.com/espnet/espnet/). More information can be found at https://github.com/Emrys365/se-scaling. ### Demo: How to use in ESPnet2 Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html) if you haven't done that already. To use the model in the Python interface, you could use the following code: ```python import soundfile as sf from espnet2.bin.enh_inference import SeparateSpeech # For model downloading + loading model = SeparateSpeech.from_pretrained( model_tag="wyz/vctk_dns2020_whamr_tfgridnet_xxtiny", normalize_output_wav=True, device="cuda", ) # For loading a downloaded model # model = SeparateSpeech( # train_config="exp_vctk_dns20_whamr/enh_tfgridnet_xxtiny_raw/config.yaml", # model_file="exp_vctk_dns20_whamr/enh_tfgridnet_xxtiny_raw/xxxx.pth", # normalize_output_wav=True, # device="cuda", # ) audio, fs = sf.read("/path/to/noisy/utt1.flac") enhanced = model(audio[None, :], fs=fs)[0] ``` <!-- Generated by ./scripts/utils/show_enh_score.sh --> # RESULTS ## Environments - date: `Sun Mar 3 22:03:37 EST 2024` - python version: `3.8.16 (default, Mar 2 2023, 03:21:46) [GCC 11.2.0]` - espnet version: `espnet 202304` - pytorch version: `pytorch 2.0.1+cu118` - Git hash: `443028662106472c60fe8bd892cb277e5b488651` - Commit date: `Thu May 11 03:32:59 2023 +0000` ## enhanced_test_16k |dataset|PESQ_WB|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS| |---|---|---|---|---|---|---|---|---|---|---| |chime4_et05_real_isolated_6ch_track|1.18|52.77|-3.19|-3.19|0.00|-31.84|2.75|3.06|3.75|3.47| |chime4_et05_simu_isolated_6ch_track|1.42|81.92|8.23|8.23|0.00|1.62|2.63|3.00|3.64|3.13| |dns20_tt_synthetic_no_reverb|2.82|96.64|17.99|17.99|0.00|17.85|3.24|3.52|4.01|3.93| |reverb_et_real_8ch_multich|1.13|70.16|3.29|3.29|0.00|0.91|2.99|3.30|3.91|3.76| |reverb_et_simu_8ch_multich|2.12|92.45|10.33|10.33|0.00|-8.65|3.12|3.42|3.96|3.84| |whamr_tt_mix_single_reverb_max_16k|1.84|90.09|8.74|8.74|0.00|5.98|3.01|3.30|3.95|3.57| ## enhanced_test_48k |dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS| |---|---|---|---|---|---|---|---|---|---| |vctk_noisy_tt_2sp...