Datasets:
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license: apache-2.0
language:
- hi
size_categories:
- 10K<n<100K
---
# 🗣️ Hindi Text-to-Speech (TTS) Model
This repository hosts a Hindi TTS model trained on a custom Hindi dataset. The model converts Hindi text into natural-sounding speech and is suitable for various applications such as voice assistants, audiobooks, and accessibility tools.
## 📌 Model Details
- **Model Type**: [Insert TTS architecture, e.g., Tacotron2 + HiFi-GAN / VITS]
- **Language**: Hindi (`hi`)
- **Dataset**: Custom Hindi speech dataset (uploaded by the author)
- **Sampling Rate**: 22050 Hz (or specify your sample rate)
- **License**: [Apache License 2.0 x, e.g., MIT, CC-BY-4.0, etc.]
## 🏁 Usage
### Inference using `transformers` + `datasets` (if applicable)
```python
from transformers import pipeline
# Load the model
tts = pipeline("text-to-speech", model="Saurabh4509/TSS_Hindi_Data")
# Generate speech
output = tts("नमस्ते, आप कैसे हैं?")
# Save to file
with open("output.wav", "wb") as f:
f.write(output["audio"]) |