From 1e05bbce03f98fdbc165d94488d4f029f1e260c8 Mon Sep 17 00:00:00 2001
From: Alex Murkoff <79400603+alexlnkp@users.noreply.github.com>
Date: Tue, 11 Jun 2024 12:54:12 +0700
Subject: [PATCH] docs: remove every ffmpeg mention in the documentation to
avoid confusion
---
.gitignore | 2 --
README.md | 25 ++---------------
docs/cn/faq.md | 7 -----
docs/en/README.en.md | 24 ++---------------
docs/en/faq_en.md | 5 ----
docs/en/training_tips_en.md | 3 ---
docs/fr/README.fr.md | 11 --------
docs/fr/faq_fr.md | 5 ----
docs/fr/training_tips_fr.md | 3 ---
docs/jp/README.ja.md | 25 ++---------------
docs/jp/faq_ja.md | 5 ----
docs/jp/training_tips_ja.md | 2 --
docs/kr/README.ko.han.md | 3 ---
docs/kr/README.ko.md | 54 +++----------------------------------
docs/kr/faq_ko.md | 5 ----
docs/kr/training_tips_ko.md | 3 ---
docs/pt/README.pt.md | 10 -------
docs/pt/faq_pt.md | 4 ---
docs/pt/training_tips_pt.md | 3 ---
docs/tr/README.tr.md | 10 -------
docs/tr/faq_tr.md | 5 ----
docs/tr/training_tips_tr.md | 3 ---
22 files changed, 10 insertions(+), 207 deletions(-)
diff --git a/.gitignore b/.gitignore
index 1d18006..e30053e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,5 +12,3 @@ xcuserdata
/logs
/assets/weights/*
-ffmpeg.*
-ffprobe.*
diff --git a/README.md b/README.md
index 7aa221d..6a270c5 100644
--- a/README.md
+++ b/README.md
@@ -126,27 +126,7 @@ sh ./run.sh
rvcmd assets/v2 # RVC-Models-Downloader command
```
-### 2. 安装 ffmpeg 工具
-若已安装`ffmpeg`和`ffprobe`则可跳过此步骤。
-
-#### Ubuntu/Debian 用户
-```bash
-sudo apt install ffmpeg
-```
-#### MacOS 用户
-```bash
-brew install ffmpeg
-```
-#### Windows 用户
-下载后放置在根目录。
-```bash
-rvcmd tools/ffmpeg # RVC-Models-Downloader command
-```
-- 下载[ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
-
-- 下载[ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
-
-### 3. 下载 rmvpe 人声音高提取算法所需文件
+### 2. 下载 rmvpe 人声音高提取算法所需文件
如果你想使用最新的RMVPE人声音高提取算法，则你需要下载音高提取模型参数并放置于`assets/rmvpe`。
@@ -162,7 +142,7 @@ rvcmd tools/ffmpeg # RVC-Models-Downloader command
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
-### 4. AMD显卡Rocm(可选, 仅Linux)
+### 3. AMD显卡Rocm(可选, 仅Linux)
如果你想基于AMD的Rocm技术在Linux系统上运行RVC，请先在[这里](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html)安装所需的驱动。
@@ -207,7 +187,6 @@ rvcmd packs/general/latest # RVC-Models-Downloader command
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
+ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/cn/faq.md b/docs/cn/faq.md
index 07e612e..5fd8fb7 100644
--- a/docs/cn/faq.md
+++ b/docs/cn/faq.md
@@ -1,10 +1,3 @@
-## Q1:ffmpeg error/utf8 error.
-
-大概率不是ffmpeg问题，而是音频路径问题；
-
-ffmpeg读取路径带空格、()等特殊符号，可能出现ffmpeg error；训练集音频带中文路径，在写入filelist.txt的时候可能出现utf8 error；
-
-
## Q2:一键训练结束没有索引
显示"Training is done. The program is closed."则模型训练成功，后续紧邻的报错是假的；
diff --git a/docs/en/README.en.md b/docs/en/README.en.md
index 5f626dd..79a3a4b 100644
--- a/docs/en/README.en.md
+++ b/docs/en/README.en.md
@@ -128,26 +128,7 @@ If you want to use the v2 version of the model, you need to download additional
rvcmd assets/v2 # RVC-Models-Downloader command
```
-### 2. Install ffmpeg tool
-If `ffmpeg` and `ffprobe` have already been installed, you can skip this step.
-#### Ubuntu/Debian
-```bash
-sudo apt install ffmpeg
-```
-#### MacOS
-```bash
-brew install ffmpeg
-```
-#### Windows
-After downloading, place it in the root directory.
-```bash
-rvcmd tools/ffmpeg # RVC-Models-Downloader command
-```
-- [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
-
-- [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
-
-### 3. Download the required files for the rmvpe vocal pitch extraction algorithm
+### 2. Download the required files for the rmvpe vocal pitch extraction algorithm
If you want to use the latest RMVPE vocal pitch extraction algorithm, you need to download the pitch extraction model parameters and place them in `assets/rmvpe`.
@@ -163,7 +144,7 @@ If you want to use the latest RMVPE vocal pitch extraction algorithm, you need t
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
-### 4. AMD ROCM (optional, Linux only)
+### 3. AMD ROCM (optional, Linux only)
If you want to run RVC on a Linux system based on AMD's ROCM technology, please first install the required drivers [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html).
@@ -207,7 +188,6 @@ rvcmd packs/general/latest # RVC-Models-Downloader command
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
+ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/en/faq_en.md b/docs/en/faq_en.md
index 063c0e9..32e8cff 100644
--- a/docs/en/faq_en.md
+++ b/docs/en/faq_en.md
@@ -1,8 +1,3 @@
-## Q1:ffmpeg error/utf8 error.
-It is most likely not a FFmpeg issue, but rather an audio path issue;
-
-FFmpeg may encounter an error when reading paths containing special characters like spaces and (), which may cause an FFmpeg error; and when the training set's audio contains Chinese paths, writing it into filelist.txt may cause a utf8 error.
-
## Q2:Cannot find index file after "One-click Training".
If it displays "Training is done. The program is closed," then the model has been trained successfully, and the subsequent errors are fake;
diff --git a/docs/en/training_tips_en.md b/docs/en/training_tips_en.md
index 2aca8a7..d03a1cb 100644
--- a/docs/en/training_tips_en.md
+++ b/docs/en/training_tips_en.md
@@ -20,9 +20,6 @@ Loads and preprocesses audio.
If you specify a folder with audio, the audio files in that folder will be read automatically.
For example, if you specify `C:Users\hoge\voices`, `C:Users\hoge\voices\voice.mp3` will be loaded, but `C:Users\hoge\voices\dir\voice.mp3` will Not loaded.
-Since ffmpeg is used internally for reading audio, if the extension is supported by ffmpeg, it will be read automatically.
-After converting to int16 with ffmpeg, convert to float32 and normalize between -1 to 1.
-
### denoising
The audio is smoothed by scipy's filtfilt.
diff --git a/docs/fr/README.fr.md b/docs/fr/README.fr.md
index 26c3452..fd89c0b 100644
--- a/docs/fr/README.fr.md
+++ b/docs/fr/README.fr.md
@@ -112,16 +112,6 @@ Voici une liste des modèles et autres fichiers requis par RVC :
./assets/pretrained_v2
-# Si vous utilisez Windows, vous pourriez avoir besoin de ces fichiers pour ffmpeg et ffprobe, sautez cette étape si vous avez déjà installé ffmpeg et ffprobe. Les utilisateurs d'ubuntu/debian peuvent installer ces deux bibliothèques avec apt install ffmpeg. Les utilisateurs de Mac peuvent les installer avec brew install ffmpeg (prérequis : avoir installé brew).
-
-# ./ffmpeg
-
-https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe
-
-# ./ffprobe
-
-https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe
-
# Si vous souhaitez utiliser le dernier algorithme RMVPE de pitch vocal, téléchargez les paramètres du modèle de pitch et placez-les dans le répertoire racine de RVC.
https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt
@@ -167,7 +157,6 @@ python web.py
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
+ [Extraction de la hauteur vocale : RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/fr/faq_fr.md b/docs/fr/faq_fr.md
index 52ebafc..47d96c3 100644
--- a/docs/fr/faq_fr.md
+++ b/docs/fr/faq_fr.md
@@ -1,8 +1,3 @@
-## Q1: Erreur ffmpeg/erreur utf8.
-Il s'agit très probablement non pas d'un problème lié à FFmpeg, mais d'un problème lié au chemin de l'audio ;
-
-FFmpeg peut rencontrer une erreur lors de la lecture de chemins contenant des caractères spéciaux tels que des espaces et (), ce qui peut provoquer une erreur FFmpeg ; et lorsque l'audio du jeu d'entraînement contient des chemins en chinois, l'écrire dans filelist.txt peut provoquer une erreur utf8.
-
## Q2: Impossible de trouver le fichier index après "Entraînement en un clic".
Si l'affichage indique "L'entraînement est terminé. Le programme est fermé", alors le modèle a été formé avec succès, et les erreurs subséquentes sont fausses ;
diff --git a/docs/fr/training_tips_fr.md b/docs/fr/training_tips_fr.md
index 836b450..9e03a86 100644
--- a/docs/fr/training_tips_fr.md
+++ b/docs/fr/training_tips_fr.md
@@ -20,9 +20,6 @@ Charge et pré-traite l'audio.
Si vous spécifiez un dossier avec de l'audio, les fichiers audio de ce dossier seront lus automatiquement.
Par exemple, si vous spécifiez `C:Users\hoge\voices`, `C:Users\hoge\voices\voice.mp3` sera chargé, mais `C:Users\hoge\voices\dir\voice.mp3` ne sera pas chargé.
-Comme ffmpeg est utilisé en interne pour lire l'audio, si l'extension est prise en charge par ffmpeg, elle sera lue automatiquement.
-Après la conversion en int16 avec ffmpeg, convertir en float32 et normaliser entre -1 et 1.
-
### débruitage
L'audio est lissé par filtfilt de scipy.
diff --git a/docs/jp/README.ja.md b/docs/jp/README.ja.md
index 9be6ecd..2825c18 100644
--- a/docs/jp/README.ja.md
+++ b/docs/jp/README.ja.md
@@ -130,27 +130,7 @@ v2バージョンのモデルを使用したい場合は、追加ダウンロー
rvcmd assets/v2 # RVC-Models-Downloader command
```
-### 2. ffmpegツールのインストール
-`ffmpeg`と`ffprobe`がすでにインストールされている場合は、このステップをスキップできます。
-
-#### Ubuntu/Debian
-```bash
-sudo apt install ffmpeg
-```
-#### MacOS
-```bash
-brew install ffmpeg
-```
-#### Windows
-ダウンロード後、ルートディレクトリに配置しましょう。
-```bash
-rvcmd tools/ffmpeg # RVC-Models-Downloader command
-```
-- [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
-
-- [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
-
-### 3. RMVPE人声音高抽出アルゴリズムに必要なファイルのダウンロード
+### 2. RMVPE人声音高抽出アルゴリズムに必要なファイルのダウンロード
最新のRMVPE人声音高抽出アルゴリズムを使用したい場合は、音高抽出モデルをダウンロードし、`assets/rmvpe`に配置する必要があります。
@@ -166,7 +146,7 @@ rvcmd tools/ffmpeg # RVC-Models-Downloader command
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
-### 4. AMD ROCM（オプション、Linuxのみ）
+### 3. AMD ROCM（オプション、Linuxのみ）
AMDのRocm技術を基にLinuxシステムでRVCを実行したい場合は、まず[ここ](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html)で必要なドライバをインストールしてください。
@@ -211,7 +191,6 @@ rvcmd packs/general/latest # RVC-Models-Downloader command
- [VITS](https://github.com/jaywalnut310/vits)
- [HIFIGAN](https://github.com/jik876/hifi-gan)
- [Gradio](https://github.com/gradio-app/gradio)
-- [FFmpeg](https://github.com/FFmpeg/FFmpeg)
- [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
- [audio-slicer](https://github.com/openvpi/audio-slicer)
- [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/jp/faq_ja.md b/docs/jp/faq_ja.md
index 704f55f..9f2d54c 100644
--- a/docs/jp/faq_ja.md
+++ b/docs/jp/faq_ja.md
@@ -1,8 +1,3 @@
-## Q1: ffmpeg error/utf8 error
-
-大体の場合、ffmpeg の問題ではなく、音声パスの問題です。
-ffmpeg は空白や()などの特殊文字を含むパスを読み込む際に ffmpeg error が発生する可能性があります。トレーニングセットの音声が中国語のパスを含む場合、filelist.txt に書き込む際に utf8 error が発生する可能性があります。
-
## Q2: ワンクリックトレーニングが終わってもインデックスがない
"Training is done. The program is closed."と表示された場合、モデルトレーニングは成功しています。その直後のエラーは誤りです。
diff --git a/docs/jp/training_tips_ja.md b/docs/jp/training_tips_ja.md
index c5b06f2..54bcbaf 100644
--- a/docs/jp/training_tips_ja.md
+++ b/docs/jp/training_tips_ja.md
@@ -19,8 +19,6 @@ GUIの訓練タブのstepに沿って説明します。
音声のあるフォルダを指定すると、そのフォルダ内にある音声ファイルを自動で読み込みます。
例えば`C:Users\hoge\voices`を指定した場合、`C:Users\hoge\voices\voice.mp3`は読み込まれますが、`C:Users\hoge\voices\dir\voice.mp3`は読み込まれません。
-音声の読み込みには内部でffmpegを利用しているので、ffmpegで対応している拡張子であれば自動的に読み込まれます。
-ffmpegでint16に変換した後、float32に変換し、-1 ~ 1の間に正規化されます。
### denoising
音声についてscipyのfiltfiltによる平滑化を行います。
diff --git a/docs/kr/README.ko.han.md b/docs/kr/README.ko.han.md
index f200025..a32e7cc 100644
--- a/docs/kr/README.ko.han.md
+++ b/docs/kr/README.ko.han.md
@@ -81,8 +81,6 @@ V2 버전 모델을 테스트하려면 추가 다운로드가 필요합니다.
./assets/pretrained_v2
-# Windows를 使用하는境遇 이 사전도 必要할 수 있습니다. FFmpeg가 設置되어 있으면 건너뛰어도 됩니다.
-ffmpeg.exe
```
그後 以下의 命令을 使用하여 WebUI를 始作할 수 있습니다:
```bash
@@ -95,7 +93,6 @@ Windows를 使用하는境遇 `RVC-beta.7z`를 다운로드 및 壓縮解除하
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
## 모든寄與者분들의勞力에感謝드립니다
diff --git a/docs/kr/README.ko.md b/docs/kr/README.ko.md
index cb12b53..c16c5c2 100644
--- a/docs/kr/README.ko.md
+++ b/docs/kr/README.ko.md
@@ -156,27 +156,7 @@ sh ./run.sh
rvcmd assets/v2 # RVC-Models-Downloader command
```
-### 2. 安装 ffmpeg 工具
-若已安装`ffmpeg`和`ffprobe`则可跳过此步骤。
-
-#### Ubuntu/Debian 用户
-```bash
-sudo apt install ffmpeg
-```
-#### MacOS 用户
-```bash
-brew install ffmpeg
-```
-#### Windows 用户
-下载后放置在根目录。
-```bash
-rvcmd tools/ffmpeg # RVC-Models-Downloader command
-```
-- 下载[ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
-
-- 下载[ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
-
-### 3. 下载 rmvpe 人声音高提取算法所需文件
+### 2. 下载 rmvpe 人声音高提取算法所需文件
如果你想使用最新的RMVPE人声音高提取算法，则你需要下载音高提取模型参数并放置于`assets/rmvpe`。
@@ -192,7 +172,7 @@ rvcmd tools/ffmpeg # RVC-Models-Downloader command
rvcmd assets/rmvpe # RVC-Models-Downloader command
```
-### 4. AMD显卡Rocm(可选, 仅Linux)
+### 3. AMD显卡Rocm(可选, 仅Linux)
如果你想基于AMD的Rocm技术在Linux系统上运行RVC，请先在[这里](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html)安装所需的驱动。
@@ -237,7 +217,6 @@ rvcmd packs/general/latest # RVC-Models-Downloader command
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
+ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
@@ -298,31 +277,7 @@ v2 버전 모델을 사용하려면 추가로 다음을 다운로드해야 합
rvcmd assets/v2 # RVC-Models-Downloader command
```
-### 2. ffmpeg 설치
-
-`ffmpeg`와 `ffprobe`가 이미 설치되어 있다면 건너뜁니다.
-
-#### Ubuntu/Debian 사용자
-
-```bash
-sudo apt install ffmpeg
-```
-
-#### MacOS 사용자
-
-```bash
-brew install ffmpeg
-```
-
-#### Windows 사용자
-
-다운로드 후 루트 디렉토리에 배치.
-
-- [ffmpeg.exe 다운로드](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe)
-
-- [ffprobe.exe 다운로드](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe)
-
-### 3. RMVPE 인간 음성 피치 추출 알고리즘에 필요한 파일 다운로드
+### 2. RMVPE 인간 음성 피치 추출 알고리즘에 필요한 파일 다운로드
최신 RMVPE 인간 음성 피치 추출 알고리즘을 사용하려면 음피치 추출 모델 매개변수를 다운로드하고 RVC 루트 디렉토리에 배치해야 합니다.
@@ -332,7 +287,7 @@ brew install ffmpeg
- [rmvpe.onnx 다운로드](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx)
-### 4. AMD 그래픽 카드 Rocm(선택사항, Linux만 해당)
+### 3. AMD 그래픽 카드 Rocm(선택사항, Linux만 해당)
Linux 시스템에서 AMD의 Rocm 기술을 기반으로 RVC를 실행하려면 [여기](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html)에서 필요한 드라이버를 먼저 설치하세요.
@@ -392,7 +347,6 @@ source /opt/intel/oneapi/setvars.sh
- [VITS](https://github.com/jaywalnut310/vits)
- [HIFIGAN](https://github.com/jik876/hifi-gan)
- [Gradio](https://github.com/gradio-app/gradio)
-- [FFmpeg](https://github.com/FFmpeg/FFmpeg)
- [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
- [audio-slicer](https://github.com/openvpi/audio-slicer)
- [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/kr/faq_ko.md b/docs/kr/faq_ko.md
index a51d098..3d1f634 100644
--- a/docs/kr/faq_ko.md
+++ b/docs/kr/faq_ko.md
@@ -1,8 +1,3 @@
-## Q1:ffmpeg 오류/utf8 오류
-
-대부분의 경우 ffmpeg 문제가 아니라 오디오 경로 문제입니다.
-ffmpeg가 공백, () 등의 특수 문자가 포함된 경로를 읽을 때 ffmpeg 오류가 발생할 수 있습니다. 트레이닝 세트 오디오가 중문 경로일 때 filelist.txt에 쓸 때 utf8 오류가 발생할 수 있습니다.
-
## Q2:일괄 트레이닝이 끝나고 인덱스가 없음
"Training is done. The program is closed."라고 표시되면 모델 트레이닝이 성공한 것이며, 이어지는 오류는 가짜입니다.
diff --git a/docs/kr/training_tips_ko.md b/docs/kr/training_tips_ko.md
index 8b3b624..f05d794 100644
--- a/docs/kr/training_tips_ko.md
+++ b/docs/kr/training_tips_ko.md
@@ -16,9 +16,6 @@ GUI의 훈련 탭의 단계를 따라 설명합니다.
음성 파일이 있는 폴더를 지정하면 해당 폴더에 있는 음성 파일이 자동으로 가져와집니다.
예를 들어 `C:Users\hoge\voices`를 지정하면 `C:Users\hoge\voices\voice.mp3`가 읽히지만 `C:Users\hoge\voices\dir\voice.mp3`는 읽히지 않습니다.
-음성 로드에는 내부적으로 ffmpeg를 이용하고 있으므로, ffmpeg로 대응하고 있는 확장자라면 자동적으로 읽힙니다.
-ffmpeg에서 int16으로 변환한 후 float32로 변환하고 -1과 1 사이에 정규화됩니다.
-
### 잡음 제거
음성 파일에 대해 scipy의 filtfilt를 이용하여 잡음을 처리합니다.
diff --git a/docs/pt/README.pt.md b/docs/pt/README.pt.md
index 5e1c663..8048443 100644
--- a/docs/pt/README.pt.md
+++ b/docs/pt/README.pt.md
@@ -123,15 +123,6 @@ Se você deseja testar o modelo da versão v2 (o modelo da versão v2 alterou a
./assets/pretrained_v2
-#Se você estiver usando Windows, também pode precisar desses dois arquivos, pule se FFmpeg e FFprobe estiverem instalados
-ffmpeg.exe
-
-https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe
-
-ffprobe.exe
-
-https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe
-
Se quiser usar o algoritmo de extração de tom vocal SOTA RMVPE mais recente, você precisa baixar os pesos RMVPE e colocá-los no diretório raiz RVC
https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt
@@ -179,7 +170,6 @@ python web.py
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
+ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/pt/faq_pt.md b/docs/pt/faq_pt.md
index 0b52470..19f1f29 100644
--- a/docs/pt/faq_pt.md
+++ b/docs/pt/faq_pt.md
@@ -100,10 +100,6 @@ Primeira coisa que gostaria de lembrar, não necessariamente quanto mais epochs
# FAQ Original traduzido
-## Q1: erro ffmpeg/erro utf8.
-Provavelmente não é um problema do FFmpeg, mas sim um problema de caminho de áudio;
-
-O FFmpeg pode encontrar um erro ao ler caminhos contendo caracteres especiais como spaces e (), o que pode causar um erro FFmpeg; e quando o áudio do conjunto de treinamento contém caminhos chineses, gravá-lo em filelist.txt pode causar um erro utf8.
## Q2:Não é possível encontrar o arquivo de Index após "Treinamento com um clique".
Se exibir "O treinamento está concluído. O programa é fechado ", então o modelo foi treinado com sucesso e os erros subsequentes são falsos;
diff --git a/docs/pt/training_tips_pt.md b/docs/pt/training_tips_pt.md
index 985ab4f..0bc1b96 100644
--- a/docs/pt/training_tips_pt.md
+++ b/docs/pt/training_tips_pt.md
@@ -20,9 +20,6 @@ Carrega e pré-processa áudio.
Se você especificar uma pasta com áudio, os arquivos de áudio dessa pasta serão lidos automaticamente.
Por exemplo, se você especificar `C:Users\hoge\voices`, `C:Users\hoge\voices\voice.mp3` será carregado, mas `C:Users\hoge\voices\dir\voice.mp3` será Não carregado.
-Como o ffmpeg é usado internamente para leitura de áudio, se a extensão for suportada pelo ffmpeg, ela será lida automaticamente.
-Após converter para int16 com ffmpeg, converta para float32 e normalize entre -1 e 1.
-
### Eliminar ruído
O áudio é suavizado pelo filtfilt do scipy.
diff --git a/docs/tr/README.tr.md b/docs/tr/README.tr.md
index 1cb72d3..bb13366 100644
--- a/docs/tr/README.tr.md
+++ b/docs/tr/README.tr.md
@@ -108,15 +108,6 @@ V2 sürüm modelini test etmek isterseniz (v2 sürüm modeli, 9 katmanlı Hubert
./assets/pretrained_v2
-Eğer Windows kullanıyorsanız, FFmpeg ve FFprobe kurulu değilse bu iki dosyayı da indirmeniz gerekebilir.
-ffmpeg.exe
-
-https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe
-
-ffprobe.exe
-
-https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe
-
En son SOTA RMVPE vokal ton çıkarma algoritmasını kullanmak istiyorsanız, RMVPE ağırlıklarını indirip RVC kök dizinine koymalısınız.
https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt
@@ -140,7 +131,6 @@ Windows veya macOS kullanıyorsanız, `RVC-beta.7z` dosyasını indirip çıkara
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
-+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
+ [Vokal ton çıkarma:RMVPE](https://github.com/Dream-High/RMVPE)
diff --git a/docs/tr/faq_tr.md b/docs/tr/faq_tr.md
index a856680..63c1187 100644
--- a/docs/tr/faq_tr.md
+++ b/docs/tr/faq_tr.md
@@ -1,8 +1,3 @@
-## Q1: FFmpeg Hatası/UTF8 Hatası
-Büyük olasılıkla bu bir FFmpeg sorunu değil, daha çok ses dosyası yolunda bir sorun;
-
-FFmpeg, boşluklar ve () gibi özel karakterler içeren yolları okurken bir hata ile karşılaşabilir; ve eğitim setinin ses dosyaları Çin karakterleri içeriyorsa, bunlar filelist.txt'ye yazıldığında utf8 hatasına neden olabilir.
-
## Q2: "Tek Tıklamayla Eğitim" Sonrası İndeks Dosyası Bulunamıyor
Eğer "Eğitim tamamlandı. Program kapatıldı." mesajını görüyorsa, model başarıyla eğitilmiş demektir ve sonraki hatalar sahte;
diff --git a/docs/tr/training_tips_tr.md b/docs/tr/training_tips_tr.md
index 144cd77..279fef5 100644
--- a/docs/tr/training_tips_tr.md
+++ b/docs/tr/training_tips_tr.md
@@ -20,9 +20,6 @@ Ses yüklenir ve ön işleme yapılır.
Ses içeren bir klasör belirtirseniz, bu klasördeki ses dosyaları otomatik olarak okunur.
Örneğin, `C:Users\hoge\voices` belirtirseniz, `C:Users\hoge\voices\voice.mp3` yüklenecek, ancak `C:Users\hoge\voices\dir\voice.mp3` yüklenmeyecektir.
-Ses okumak için dahili olarak ffmpeg kullanıldığından, uzantı ffmpeg tarafından destekleniyorsa otomatik olarak okunacaktır.
-ffmpeg ile int16'ya dönüştürüldükten sonra float32'ye dönüştürülüp -1 ile 1 arasında normalize edilir.
-
### Gürültü Temizleme
Ses scipy'nin filtfilt işlevi ile yumuşatılır.