Vctk Dns2020 Whamr Bsrnn Tiny 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_tiny_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_tiny_noncausal", normalize_output_wav=True, device="cuda", ) # For loading a downloaded model # model = SeparateSpeech( # train_config="exp_vctk_dns20_whamr/enh_train_enh_bsrnn_tiny_noncausal_raw/config.yaml", # model_file="exp_vctk_dns20_whamr/enh_train_enh_bsrnn_tiny_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] ``` <!-- Generated by ./scripts/utils/show_enh_score.sh --> # RESULTS ## Environments - date: `Tue Feb 27 20:16:26 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|1.20|54.33|-2.60|-2.60|0.00|-31.64|2.95|3.27|3.86|3.68| |chime4_et05_simu_isolated_6ch_track|1.57|85.20|8.85|8.85|0.00|2.17|2.85|3.16|3.87|3.39| |dns20_tt_synthetic_no_reverb|3.06|97.43|18.29|18.29|0.00|18.30|3.30|3.56|4.08|4.02| |reverb_et_real_8ch_multich|1.16|69.08|2.20|2.20|0.00|-0.33|3.05|3.37|3.88|3.82| |reverb_et_simu_8ch_multich|2.18|93.68|10.21|10.21|0.00|-8.64|3.13|3.44|3.94|3.81| |whamr_tt_mix_single_reverb_max_16k|2.04|92.11|9.64|9.64|0.00|7.53|3.17|3.43|4.05|3.70| ## enhanced_test_48k |dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS| |---|---|---|---|---|-...