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RSK World
voice-cloning
/
audio
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speaker_001
RSK World
voice-cloning
Voice Cloning Dataset - Text-to-Speech + Voice Synthesis + TTS Models + Tacotron + WaveNet
speaker_001
  • metadata.json412 B
  • transcripts.txt349 B
advanced_analysis.pyfeature_importance.pngLaunchScreen.storyboardtranscripts.txtmetadata.jsonRELEASE_NOTES.mdindex.html.erbContents.jsonmetadata.json
audio/speaker_001/transcripts.txt
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Find: Go to:
<!--
    Voice Cloning Dataset Project
    Developer: Molla Samser
    Email: help@rskworld.in
    Phone: +91 93305 39277
    Website: https://rskworld.in
    Year: 2026
-->

This is a sample transcript file. Each line corresponds to an audio file in the recordings directory.
Replace this with actual transcripts for your audio files.

13 lines•349 B
text
audio/speaker_003/metadata.json
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{
  "_comment": "Voice Cloning Dataset - Developer: Molla Samser, Email: help@rskworld.in, Phone: +91 93305 39277, Website: https://rskworld.in, Year: 2026",
  "speaker_id": "speaker_003",
  "name": "Michael Brown",
  "age": 45,
  "gender": "Male",
  "accent": "Australian",
  "language": "English",
  "recording_environment": "Studio",
  "sample_rate": 22050,
  "bit_depth": 16,
  "channels": "mono",
  "num_recordings": 22,
  "total_duration_seconds": 708,
  "total_duration_formatted": "11.8 min",
  "voice_characteristics": {
    "pitch_range": {
      "min": 100,
      "max": 200,
      "average": 150
    },
    "speaking_rate": "medium-slow",
    "tone": "deep",
    "clarity": "high"
  },
  "recording_equipment": {
    "microphone": "Shure SM7B",
    "audio_interface": "Universal Audio Apollo",
    "room_acoustics": "treated"
  },
  "transcript_available": true,
  "features_extracted": true,
  "formats": ["WAV"]
}

36 lines•964 B
json
RELEASE_NOTES.md
Raw Download

RELEASE_NOTES.md

# Release Notes - Voice Cloning Dataset v1.0.0

<!--
Voice Cloning Dataset Project
Developer: Molla Samser
Email: help@rskworld.in
Phone: +91 93305 39277
Website: https://rskworld.in
Year: 2026
-->

## Version 1.0.0 - Initial Release

**Release Date**: January 15, 2026
**Tag**: v1.0.0

### 🎉 Initial Release Features

#### Core Features
- ✅ High-quality voice recordings from 50+ speakers
- ✅ Multiple audio formats (WAV, FLAC, MP3)
- ✅ Complete metadata and transcripts
- ✅ Ready-to-use format for TTS models

#### Processing Scripts
- ✅ `process_audio.py` - Audio processing and normalization
- ✅ `extract_features.py` - Feature extraction (MFCC, mel spectrogram, pitch)
- ✅ `prepare_dataset.py` - Dataset preparation and train/test split
- ✅ `validate_dataset.py` - Dataset validation
- ✅ `analyze_dataset.py` - Dataset analysis and statistics
- ✅ `convert_format.py` - Audio format conversion

#### Documentation
- ✅ Complete documentation in `COMPLETE_DOCUMENTATION.md`
- ✅ README with quick start guide
- ✅ Setup script for easy installation
- ✅ Example usage scripts

#### Web Interface
- ✅ Interactive demo page (`index.html`)
- ✅ Responsive design with modern UI
- ✅ Data visualization charts
- ✅ Interactive dataset preview table
- ✅ Code examples and API documentation
- ✅ Contact information and FAQ section

#### Data Files
- ✅ Dataset manifest with 50 speakers
- ✅ Sample metadata and transcripts
- ✅ Feature statistics
- ✅ Audio statistics
- ✅ Usage examples

### 📊 Dataset Statistics

- **Total Speakers**: 50
- **Total Recordings**: 1,250
- **Total Duration**: 12.5 hours
- **Languages**: 5 (English, Hindi, Spanish, French, German)
- **Formats**: WAV, FLAC, MP3

### 🚀 Quick Start

```bash
# Install dependencies
python setup.py

# Process audio files
python scripts/process_audio.py --input audio/ --output processed/

# Extract features
python scripts/extract_features.py --audio audio/ --output features/

# Prepare dataset
python scripts/prepare_dataset.py --config config/dataset_config.json
```

### 📦 What's Included

- Complete project structure
- 8 Python processing scripts
- Configuration files
- Sample data files
- Complete documentation
- Interactive web demo
- Setup and installation scripts

### 🔧 Requirements

- Python 3.8+
- librosa
- soundfile
- numpy
- tqdm

### 📝 Documentation

See `COMPLETE_DOCUMENTATION.md` for full documentation including:
- Installation guide
- Usage instructions
- Scripts documentation
- Advanced features
- API reference

### 🌐 Links

- **Demo**: See `index.html`
- **Documentation**: `COMPLETE_DOCUMENTATION.md`
- **Website**: https://rskworld.in

### 👤 Contact

- **Developer**: Molla Samser
- **Email**: help@rskworld.in
- **Phone**: +91 93305 39277
- **Website**: https://rskworld.in

### 📄 License

Please refer to the LICENSE file included with the dataset.

---

**Repository**: https://github.com/rskworld/voice-cloning.git
**Version**: 1.0.0
**Release Date**: January 15, 2026

audio/speaker_001/metadata.json
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Find: Go to:
{
  "_comment": "Voice Cloning Dataset - Developer: Molla Samser, Email: help@rskworld.in, Phone: +91 93305 39277, Website: https://rskworld.in, Year: 2026",
  "speaker_id": "speaker_001",
  "name": "Example Speaker",
  "age": 30,
  "gender": "male",
  "accent": "neutral",
  "language": "en",
  "recording_environment": "studio",
  "sample_rate": 22050,
  "bit_depth": 16,
  "channels": "mono"
}

15 lines•412 B
json
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About RSK World

Founded by Molla Samser, with Designer & Tester Rima Khatun, RSK World is your one-stop destination for free programming resources, source code, and development tools.

Founder: Molla Samser
Designer & Tester: Rima Khatun

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