Vctk Bsrnn Large Double Noncausal

--- tags: - espnet - audio - audio-to-audio language: en datasets: - VCTK_DEMAND license: cc-by-4.0 --- ## ESPnet2 ENH model ### `wyz/vctk_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_bsrnn_large_double_noncausal", normalize_output_wav=True, device="cuda", ) # For loading a downloaded model # model = SeparateSpeech( # train_config="exp_vctk/enh_train_enh_bsrnn_large_double_noncausal_raw/config.yaml", # model_file="exp_vctk/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] ``` <!-- Generated by ./scripts/utils/show_enh_score.sh --> # RESULTS ## Environments - date: `Wed Feb 28 01:32:14 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|51.08|-3.04|-3.04|0.00|-31.26|2.86|3.21|3.77|3.48| |chime4_et05_simu_isolated_6ch_track|1.28|75.86|6.61|6.61|0.00|0.60|2.75|3.07|3.80|3.17| |dns20_tt_synthetic_no_reverb|2.56|95.64|15.96|15.96|0.00|15.27|3.26|3.56|4.01|3.91| |reverb_et_real_8ch_multich|1.08|45.15|1.67|1.67|0.00|-2.75|2.30|2.62|3.57|3.01| |reverb_et_simu_8ch_multich|1.66|77.85|8.05|8.05|0.00|-12.78|2.87|3.18|3.82|3.51| |whamr_tt_mix_single_reverb_max_16k|1.36|78.73|5.96|5.96|0.00|1.37|2.77|3.09|3.83|3.45| ## enhanced_test_48k |dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS| |---|---|---|---|---|---|---|---|---|---| |vctk_noisy_tt_2sp...

Source context: 3 downloads · 0 likes · Pipeline audio-to-audio · Library espnet · Repo wyz/vctk_bsrnn_large_double_noncausal