File size: 6,839 Bytes
f0ea802
 
 
 
 
 
 
 
 
3f78401
f0ea802
b22f3f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2dc41b2
b22f3f4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2dc41b2
 
b22f3f4
 
 
 
 
 
 
 
 
 
 
 
 
 
f0ea802
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
---
license: apache-2.0
title: 'Aicover embrace '
sdk: gradio
emoji: πŸ”₯
colorFrom: purple
colorTo: green
pinned: true
short_description: A rvc with effects.
sdk_version: 6.2.0
---
# AICoverGen
An autonomous pipeline to create covers with any RVC v2 trained AI voice from YouTube videos or a local audio file. For developers who may want to add a singing functionality into their AI assistant/chatbot/vtuber, or for people who want to hear their favourite characters sing their favourite song.

<img width="1574" height="740" alt="image" src="https://github.com/user-attachments/assets/931189d8-e2e2-4240-84d6-52d7a13ac7f8" />

# AICoverGen Enhanced
**AI-Powered Voice Cover Generation with Advanced Audio Enhancement**

AICoverGen Enhanced is a powerful tool for creating AI voice covers with professional-grade audio enhancement features. This enhanced version includes advanced AI audio processing, EQ controls, dynamic range compression, and much more!

---

## ✨ New Features

### Advanced Audio Enhancement
- **AI Noise Reduction** – Remove background noise and artifacts  
- **Professional EQ** – 5 EQ types: Balanced, Vocal Boost, Bass Boost, Treble Boost, Flat  
- **Dynamic Range Compression** – Improve loudness and consistency  
- **Harmonic Enhancement** – Add richness and warmth to vocals  
- **Stereo Widening** – Enhance spatial imaging for stereo tracks  
- **Reverb Control** – Add depth and professional polish  
- **Gain Control** – Fine-tune volume (-20 to +20 dB)  

### Enhancement Types
- **Full** – Balanced enhancement with all features  
- **Light** – Subtle improvements for natural sound  
- **Aggressive** – Maximum enhancement for impact  
- **Custom** – Use your specific settings  

---

## πŸ–₯️ System Requirements

### Minimum Requirements
- **OS:** Windows 10/11, Linux, or macOS  
- **Python:** 3.9+ (3.10+ recommended)  
- **RAM:** 8GB minimum, 16GB recommended  
- **Storage:** 10GB free space  
- **GPU:** NVIDIA GPU with CUDA support (recommended)  

### Recommended Setup
- **OS:** Windows 11 or Ubuntu 20.04+  
- **Python:** 3.10 or 3.11  
- **RAM:** 16GB or more  
- **GPU:** NVIDIA RTX 3060 or better  
- **CUDA:** 11.8 or 12.0+  
- **cuDNN:** 8.6 or 9.0+  

---

## βš™οΈ Installation Guide

### Step 1: Clone the Repository
```bash
git clone https://github.com/SociallyIneptWeeb/AICoverGen.git
cd AICoverGen
```

### Step 2: Create Virtual Environment
```bash
# Windows
python -m venv AICoverGen
AICoverGen\Scripts\activate

# Linux/macOS
python3 -m venv AICoverGen
source AICoverGen/bin/activate
```

### Step 3: Install Dependencies

#### Option A: Automatic Installation (Recommended)
```bash
pip install -r requirements.txt
```

#### Option B: Manual Installation
```bash
# Core dependencies
pip install gradio==3.50.2 librosa==0.9.1 numpy==1.23.5 scipy==1.11.1 soundfile==0.12.1
pip install pedalboard==0.7.7 pydub==0.25.1 fairseq==0.12.2 faiss-cpu==1.7.3 pyworld==0.3.4
pip install praat-parselmouth>=0.4.2 ffmpeg-python>=0.2.0 tqdm==4.65.0 yt-dlp>=2025.9.23 sox==1.4.1

# AI Audio Enhancement dependencies
pip install noisereduce==3.0.3 scikit-learn==1.6.1

# PyTorch with CUDA support
pip install torch==2.0.1+cu118 --find-links https://download.pytorch.org/whl/torch_stable.html
pip install torchcrepe==0.0.20

# ONNX Runtime with CUDA support
pip install onnxruntime-gpu==1.18.0
```

### Step 4: Download Models
```bash
python src/download_models.py
```

### Step 5: Verify Installation
```bash
python src/audio_enhancer.py
```

---

## πŸš€ Usage

### Quick Start
```bash
python src/webui.py
```
Then open your browser and go to: [http://127.0.0.1:7860](http://127.0.0.1:7860)

1. Upload a song (YouTube URL or audio file)  
2. Select a voice model from the dropdown  
3. Configure audio enhancement:  
   - Expand "AI Audio Enhancement" section  
   - Choose enhancement type (Full/Light/Aggressive/Custom)  
   - Adjust EQ type (Balanced/Vocal Boost/Bass Boost/Treble Boost/Flat)  
   - Set noise reduction strength (0–100%)  
   - Adjust gain (-20 to +20 dB)  
   - Set compression ratio (1–10)  
   - Add reverb amount (0–100%)  
4. Click **Generate** and enjoy your enhanced AI cover!  

---

## πŸ› οΈ Troubleshooting

### CUDA Not Detected
```bash
# Check CUDA installation
nvidia-smi

# Verify PyTorch CUDA support
python -c "import torch; print(torch.cuda.is_available())"

# Check ONNX Runtime CUDA
python -c "import onnxruntime as ort; print('CUDA' in ort.get_available_providers())"
```

### Audio Enhancement Errors
```bash
# Test audio enhancer
python src/audio_enhancer.py

# Check dependencies
pip list | grep -E "(noisereduce|scikit-learn|pedalboard)"
```

### Memory Issues
- Reduce batch size in settings  
- Use CPU-only mode for ONNX Runtime  
- Close other applications to free RAM  

---

## πŸ“‚ Project Structure
```
AICoverGen_Enhanced/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ webui.py             # Main web interface
β”‚   β”œβ”€β”€ main.py              # Core pipeline with audio enhancement
β”‚   β”œβ”€β”€ audio_enhancer.py    # AI audio enhancement module
β”‚   β”œβ”€β”€ rvc.py               # RVC voice conversion
β”‚   β”œβ”€β”€ mdx.py               # Audio separation
β”œβ”€β”€ rvc_models/              # Voice models
β”œβ”€β”€ mdxnet_models/           # Audio separation models
β”œβ”€β”€ song_output/             # Generated covers
β”œβ”€β”€ requirements.txt         # Dependencies
β”œβ”€β”€ README_Enhanced.md       # This file
```

---

## 🎚️ Audio Enhancement Features

### AI Noise Reduction
- Uses ML to identify and remove background noise  
- Preserves vocal clarity while eliminating artifacts  
- Adjustable strength (0–100%)  

### Professional EQ
- **Balanced**: Gentle mid boost for clarity  
- **Vocal Boost**: Emphasizes 800–3000 Hz range  
- **Bass Boost**: Enhances 60–250 Hz  
- **Treble Boost**: Brightens 4–16 kHz  
- **Flat**: Minimal processing with high-pass filter  

### Dynamic Range Compression
- Improves loudness consistency  
- Reduces dynamic range for streaming  
- Configurable ratio (1–10)  

### Harmonic Enhancement
- Adds warmth and richness  
- Uses soft saturation for natural harmonics  

### Stereo Widening
- Improves spatial imaging  
- Enhances left-right separation  
- Creates immersive experience  

### Reverb Control
- Adds subtle depth and space  
- Professional room simulation  
- Configurable wet/dry mix  

---

## 🀝 Contributing
We welcome contributions! Please see our **Contributing Guidelines** for details.

---

## βš–οΈ License
This project is licensed under the **MIT License** – see the LICENSE file for details.

---

## πŸ™ Acknowledgments
- Original AICoverGen by **SociallyIneptWeeb**  
- RVC (Retrieval-based Voice Conversion) framework  
- MDXNet for audio separation  
- All the amazing open-source audio processing libraries