zaibihassan/Quranic-Word-By-Word-Audio-Data

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🌟 Overview

Quran Word-By-Word Audio Dataset contains two complete word-by-word recitation datasets of the Holy Quran, optimized for edge delivery, mobile streaming, and machine learning pipelines:

1. Muallim (Teacher Style) — optimized for slow, educational, and repeat-friendly listening.
2. Mujawwad (Tajweed Style) — optimized for natural rhythmic recitation with full tajweed flow.

Originally averaging between 2.0 GB to 2.3 GB each in raw format, the entire audio pipeline has been rebuilt and re-encoded using an optimized OPUS workflow. Each complete dataset is reduced to approximately 400 MB while preserving identical audible quality and timing precision.

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🚀 Key Features

• Complete Recitations: All 114 Surahs of the Holy Quran processed for both Muallim and Mujawwad recitations.
• Deterministic Indexing: Over 77,000+ individual word audio files mapped with a strict SURAH_AYAH_WORD indexing system.
• Optimized Audio: Compressed into 16kHz mono .opus streams with Variable Bitrate (VBR) enabled and speech-optimized tuning.
• Microsecond-Accurate Sync: Packed with binary Protocol Buffer (.pb) files for fast parsing and zero-lag timing seek.

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📂 Dataset Structure & Layout

The files are structured cleanly in the repository to allow direct access to either style and their corresponding timestamps.

Final Dataset Layout

dataset/
├── muallim/
│   ├── 001/
│   │   ├── 001_001_001.opus
│   │   ├── ...
│   │   └── 001.pb
│   └── ...
│
└── mujawwad/
    ├── 001/
    │   ├── 001_001_001.opus
    │   ├── ...
    │   └── 001.pb
    └── ...

Naming Format

SURAH_AYAH_WORD

File Name	Meaning
001_001_001.opus	Surah Al-Fatihah (1) → Ayah 1 → Word 1
001_001_002.opus	Surah Al-Fatihah (1) → Ayah 1 → Word 2
002_255_010.opus	Surah Al-Baqarah (2) → Ayah 255 → Word 10

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🎙️ Audio Optimization Pipeline

The original source material was converted from traditional MP3 encoding into highly compressed OPUS streams using:

• libopus
• VBR enabled
• 16kHz mono
• Speech-optimized tuning

This vocal clarity-oriented compression yields significant storage savings:

Dataset Type	Original Size	Optimized Size	Reduction
Muallim WBW Quran	~2.0–2.3 GB	~400 MB	~80–85%
Mujawwad WBW Quran	~2.0–2.3 GB	~400 MB	~80–85%

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⏱️ Timestamp Architecture (.pb Files)

Every word audio segment includes synchronized timestamp metadata using compact Protocol Buffer (.pb) files.

These timestamp files map exact Quran word positions for:

• Real-time highlighting
• Karaoke-style playback
• Translation synchronization
• AI speech alignment
• Waveform seeking
• Multi-reciter synchronization

Each protobuf file contains precise timing data for the corresponding Surah.

Why Protocol Buffers?

Protocol Buffers (.pb) were chosen instead of raw JSON because they provide:

• Extremely small file sizes (~33% smaller than JSON)
• Faster parsing performance
• Binary-efficient loading
• Lower memory overhead
• Better mobile compatibility
• Reduced network transfer costs

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🤝 Contribution & License

This dataset is distributed under the Apache 2.0 License. If you use it in your research, applications, or websites, feel free to link back to this Hugging Face repository!