TalhaAhmed/Urdu_kaani_TTS

🇵🇰 Urdu Kaani TTS — Talha Ahmed

High-Quality Urdu Text-to-Speech (Kaani Style) using KaniTTS + LoRA Fine-Tuning

This repository contains Urdu Kaani Text-to-Speech (TTS) fine-tuned on the KaniTTS 450M model using a custom Urdu dataset. The goal is to generate story-like, natural, expressive Urdu speech with high clarity.

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🎧 Demo Audio

Sample Output (TTS Prediction)

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📦 Model Details

Feature	Description

| Base Model | nineninesix/kani-tts-450m-0.2-pt | | Fine-tuning Method | LoRA (rank=8) | | Dataset Used | TalhaAhmed/urdu-tts-nano-codec | | Language | Urdu | | Model Size | 0.4B parameters | | Format | Safetensors | | Use Case | Stories, narration, expressive reading, general TTS |

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📚 Dataset

This model is trained on the following dataset:

🔗 Dataset: https://huggingface.co/datasets/TalhaAhmed/urdu-tts-nano-codec

The dataset contains:

• Clean Urdu speech
• Corresponding text
• Balanced samples
• Perfect for narration / kahani style

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🧠 Training Configuration

✓ Base Model

nineninesix/kani-tts-450m-0.2-pt

✓ LoRA Settings

lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
target_modules:
  - q_proj
  - k_proj
  - v_proj
  - out_proj

✓ Epochs & Optimizer

epochs: 2
optimizer: AdamW
learning_rate: 1e-4
warmup_steps: 500
batch_size: 2

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🚀 How to Use

🔧 Install Dependencies

pip install transformers datasets soundfile torch

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🎤 Inference Example (Generate Urdu Audio)

from transformers import pipeline

pipe = pipeline(
    "text-to-speech",
    model="TalhaAhmed/Urdu_kaani_TTS"
)

text = "ایک دن ایک بوڑھا آدمی بازار گیا اور اس نے کہا کہ آج موسم بہت خوشگوار ہے۔"

audio = pipe(text)

with open("output.wav", "wb") as f:
    f.write(audio["audio"])

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📁 Repository Structure

Urdu_kaani_TTS/
│── adapter_config.json
│── model.safetensors
│── README.md
│── demo.wav  (optional)
└── config.json

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🎯 Intended Use Cases

• Story Narration (Kahani / Kaani style)
• Educational content
• Audiobooks
• Voiceovers
• Urdu assistant voices
• Conversational TTS

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⚠️ Limitations

• Works best on Urdu script, not Roman Urdu
• Long paragraphs may reduce expressiveness
• Not optimized for singing or emotional extremes

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📄 License

This model is released under the MIT License.

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❤️ Acknowledgements

Special thanks to:

• 🇵🇰 Urdu TTS research community
• nineninesix for the KaniTTS base model
• Hugging Face for computational tools
• Fine-tuning setup created by Talha Ahmed

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🙋 Support & Contact

If you want help integrating Urdu TTS into FastAPI, Streamlit, or production apps:

📧 Email: [email protected] 💼 GitHub: EnggTalha