Update README.md

README.md

@@ -5,7 +5,7 @@ tags:
 - audio-to-audio
 language: en
 datasets:
-- universal_se
+  - VCTK_DEMAND
 license: cc-by-4.0
 ---
 
@@ -13,22 +13,69 @@ license: cc-by-4.0
 
 ### `wyz/vctk_bsrnn_medium_noncausal`
 
-This model was trained by Emrys365 using universal_se recipe in [espnet](https://github.com/espnet/espnet/).
+This model was trained by wyz based on the universal_se_v1 recipe in [espnet](https://github.com/espnet/espnet/).
 
 ### 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.
 
-```bash
-cd espnet
-git checkout 443028662106472c60fe8bd892cb277e5b488651
-pip install -e .
-cd egs2/universal_se/enh1
-./run.sh --skip_data_prep false --skip_train true --download_model wyz/vctk_bsrnn_medium_noncausal
+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_medium_noncausal",
+    normalize_output_wav=True,
+    device="cuda",
+)
+# For loading a downloaded model
+# model = SeparateSpeech(
+#     train_config="exp_vctk/enh_train_enh_bsrnn_medium_noncausal_raw/config.yaml",
+#     model_file="exp_vctk/enh_train_enh_bsrnn_medium_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 01:40:25 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|1.11|48.88|-3.44|-3.44|0.00|-31.29|2.78|3.09|3.79|3.47|
+|chime4_et05_simu_isolated_6ch_track|1.22|69.37|5.61|5.61|0.00|-0.58|2.60|2.89|3.80|3.13|
+|dns20_tt_synthetic_no_reverb|2.34|93.88|14.32|14.32|0.00|13.42|3.27|3.56|4.02|3.91|
+|reverb_et_real_8ch_multich|1.06|37.83|0.59|0.59|0.00|-4.19|2.19|2.51|3.50|2.88|
+|reverb_et_simu_8ch_multich|1.55|77.68|7.89|7.89|0.00|-11.68|2.91|3.24|3.84|3.58|
+|whamr_tt_mix_single_reverb_max_16k|1.28|73.13|4.95|4.95|0.00|0.52|2.66|2.95|3.83|3.38|
+
+
+## enhanced_test_48k
+
+
+|dataset|STOI|SAR|SDR|SIR|SI_SNR|OVRL|SIG|BAK|P808_MOS|
+|---|---|---|---|---|---|---|---|---|---|
+|vctk_noisy_tt_2spk|95.08|20.39|20.39|0.00|19.28|3.17|3.46|3.99|3.53|
+
 
 ## ENH config