Vctk Dns2020 Whamr Bsrnn Large Double Noncausal

--- tags: - espnet - audio - audio-to-audio datasets: - VCTK_DEMAND - DNS2020 - WHAMR language: en license: cc-by-4.0 --- ## ESPnet2 ENH model ### `wyz/vctk_dns2020_whamr_bsrnn_large_double_noncausal` 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_bsrnn_large_double_noncausal", normalize_output_wav=True, device="cuda", ) # For loading a downloaded model # model = SeparateSpeech( # train_config="exp_vctk_dns20_whamr/enh_train_enh_bsrnn_large_double_noncausal_raw/config.yaml", # model_file="exp_vctk_dns20_whamr/enh_train_enh_bsrnn_large_double_noncausal_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] ``` module <!-- Generated by scripts/utils/show_enh_score.sh --> # RESULTS ## Environments - date: `Mon Apr 29 02:05:36 EDT 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|1.21|54.93|-2.02|-2.02|0.00|-30.83|3.13|3.44|3.92|3.73| |chime4_et05_simu_isolated_6ch_track|1.67|87.99|10.19|10.19|0.00|2.75|3.03|3.33|3.93|3.44| |dns20_tt_synthetic_no_reverb|3.37|98.24|20.36|20.36|0.00|20.25|3.33|3.57|4.12|4.05| |reverb_et_real_8ch_multich|1.14|65.25|1.05|1.05|0.00|-1.97|3.17|3.51|3.89|3.77| |reverb_et_simu_8ch_multich|2.19|93.93|10.82|10.82|0.00|-8.54|3.12|3.48|3.86|3.84| |whamr_tt_mix_single_reverb_max_16k|2.38|94.94|12.35|12.35|0.00|11.01|3.30|3.54|4.13|3.80| ## enhanced_test_48k |dataset|STOI|SAR|SDR|SIR|SI_SNR|OVR...