Update README.md

Ubuntu 20.04.1 CUDA 11.3 缺少依赖，还有依赖冲突

Co-authored-by: Vega <babysor00@gmail.com>

README-CN.md

@@ -29,6 +29,7 @@
 > 如果在用 pip 方式安装的时候出现 `ERROR: Could not find a version that satisfies the requirement torch==1.9.0+cu102 (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)` 这个错误可能是 python 版本过低，3.9 可以安装成功
 * 安装 [ffmpeg](https://ffmpeg.org/download.html#get-packages)。
 * 运行`pip install -r requirements.txt` 来安装剩余的必要包。
+> 这里的环境建议使用 `Repo Tag 0.0.1` `Pytorch1.9.0 with Torchvision0.10.0 and cudatoolkit10.2` `requirements.txt` `webrtcvad-wheels` 因为 `requiremants.txt` 是在几个月前导出的，所以不适配新版本
 * 安装 webrtcvad `pip install webrtcvad-wheels`。
 
 或者

README.md

@@ -1,3 +1,5 @@
+> 🚧 While I no longer actively update this repo, you can find me continuously pushing this tech forward to good side and open-source. I'm also building an optimized and cloud hosted version: https://noiz.ai/ and it's free but not ready for commersial use now.
+>
 ![mockingbird](https://user-images.githubusercontent.com/12797292/131216767-6eb251d6-14fc-4951-8324-2722f0cd4c63.jpg)
 
 
@@ -29,6 +31,7 @@
 > If you get an `ERROR: Could not find a version that satisfies the requirement torch==1.9.0+cu102 (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2 )` This error is probably due to a low version of python, try using 3.9 and it will install successfully
 * Install [ffmpeg](https://ffmpeg.org/download.html#get-packages).
 * Run `pip install -r requirements.txt` to install the remaining necessary packages.
+> The recommended environment here is `Repo Tag 0.0.1` `Pytorch1.9.0 with Torchvision0.10.0 and cudatoolkit10.2` `requirements.txt` `webrtcvad-wheels` because `requirements. txt` was exported a few months ago, so it doesn't work with newer versions
 * Install webrtcvad `pip install webrtcvad-wheels`(If you need)
 
 or

models/synthesizer/preprocess_audio.py

@@ -116,14 +116,13 @@ def preprocess_general(speaker_dir, out_dir: Path, skip_existing: bool, hparams,
                     print(f"No word found in dict_info for {wav_fpath.name}, skip it")
                     continue
             sub_basename = "%s_%02d" % (wav_fpath.name, 0)
-            mel_fpath = out_dir.joinpath("mels", f"mel-{sub_basename}.npy")
-            wav_fpath = out_dir.joinpath("audio", f"audio-{sub_basename}.npy")
+            mel_fpath_out = out_dir.joinpath("mels", f"mel-{sub_basename}.npy")
+            wav_fpath_out = out_dir.joinpath("audio", f"audio-{sub_basename}.npy")
             
-            if skip_existing and mel_fpath.exists() and wav_fpath.exists():
+            if skip_existing and mel_fpath_out.exists() and wav_fpath_out.exists():
                 continue
             wav, text = _split_on_silences(wav_fpath, words, hparams)
-            result = _process_utterance(wav, text, out_dir, sub_basename, 
-                                                False, hparams, encoder_model_fpath) # accelarate
+            result = _process_utterance(wav, text, out_dir, sub_basename, mel_fpath_out, wav_fpath_out, hparams, encoder_model_fpath)
             if result is None:
                 continue
             wav_fpath_name, mel_fpath_name, embed_fpath_name, wav, mel_frames, text = result

requirements.txt

@@ -2,7 +2,8 @@ umap-learn
 visdom
 librosa
 matplotlib>=3.3.0
-numpy
+numpy==1.19.3; platform_system == "Windows"
+numpy==1.20.3; platform_system != "Windows"
 scipy>=1.0.0
 tqdm
 sounddevice
@@ -12,8 +13,8 @@ inflect
 PyQt5
 multiprocess
 numba
-webrtcvad
-pypinyin
+webrtcvad; platform_system != "Windows"
+pypinyin==0.44.0
 flask
 flask_wtf
 flask_cors
@@ -25,9 +26,9 @@ PyYAML
 torch_complex
 espnet
 PyWavelets
-monotonic-align==0.0.3
-transformers
 fastapi
 loguru
-typer[all]
-click
+click==8.0.4
+typer
+monotonic-align==1.0.0
+transformers