Vctk Bsrnn Xtiny Causal

--- tags: - espnet - audio - audio-to-audio datasets: - VCTK_DEMAND language: en license: cc-by-4.0 --- ## ESPnet2 ENH model ### `wyz/vctk_bsrnn_xtiny_causal` 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_bsrnn_xtiny_causal", normalize_output_wav=True, device="cuda", ) # For loading a downloaded model # model = SeparateSpeech( # train_config="exp_vctk/enh_train_enh_bsrnn_xtiny_raw/config.yaml", # model_file="exp_vctk/enh_train_enh_bsrnn_xtiny_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: `Wed Feb 28 17:03:08 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|1.13|45.98|-3.95|-3.95|0.00|-31.48|2.11|2.50|3.22|2.98| |chime4_et05_simu_isolated_6ch_track|1.18|69.00|4.82|4.82|0.00|-0.29|2.03|2.36|3.37|2.66| |dns20_tt_synthetic_no_reverb|1.99|92.09|13.16|13.16|0.00|12.77|2.87|3.40|3.45|3.57| |reverb_et_real_8ch_multich|1.24|76.05|7.81|7.81|0.00|4.59|2.35|2.73|3.49|3.35| |reverb_et_simu_8ch_multich|1.65|85.35|9.36|9.36|0.00|-10.50|2.79|3.24|3.57|3.60| |whamr_tt_mix_single_reverb_max_16k|1.20|74.30|3.81|3.81|0.00|-0.21|2.04|2.37|3.36|3.02| ## enhanced_test_48k |dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS| |---|---|---|---|---|---|---|---|---|---| |vctk_noisy_tt_2spk|93.55|19.34|19.34|0.00|18.24|3.01|3.36|3.86|3.40|...

Source context: 1 downloads · 0 likes · Pipeline audio-to-audio · Library espnet · Repo wyz/vctk_bsrnn_xtiny_causal