Vctk Bsrnn Large Noncausal

--- tags: - espnet - audio - audio-to-audio language: en datasets: - VCTK_DEMAND license: cc-by-4.0 --- ## ESPnet2 ENH model ### `wyz/vctk_bsrnn_large_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_noncausal", normalize_output_wav=True, device="cuda", ) # For loading a downloaded model # model = SeparateSpeech( # train_config="exp_vctk/enh_train_enh_bsrnn_large_noncausal_raw/config.yaml", # model_file="exp_vctk/enh_train_enh_bsrnn_large_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 01:36:31 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|1.12|49.38|-3.27|-3.27|0.00|-31.32|2.82|3.14|3.78|3.48| |chime4_et05_simu_isolated_6ch_track|1.22|70.29|5.87|5.87|0.00|-0.29|2.66|2.97|3.79|3.13| |dns20_tt_synthetic_no_reverb|2.46|94.70|15.16|15.16|0.00|14.26|3.27|3.55|4.03|3.93| |reverb_et_real_8ch_multich|1.07|45.79|1.64|1.64|0.00|-2.65|2.30|2.62|3.55|3.10| |reverb_et_simu_8ch_multich|1.59|79.31|8.21|8.21|0.00|-11.68|2.92|3.25|3.84|3.61| |whamr_tt_mix_single_reverb_max_16k|1.31|75.48|5.67|5.67|0.00|1.10|2.72|3.03|3.82|3.45| ## enhanced_test_48k |dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS| |---|---|---|---|---|---|---|---|---|---| |vctk_noisy_tt_2spk|95.16|20.30|20.30|0.00|19...

Source context: 4 downloads · 0 likes · Pipeline audio-to-audio · Library espnet · Repo wyz/vctk_bsrnn_large_noncausal