README.md

metadata

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)

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"])