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tinisoft/piper-ta_IN-rasa_female-medium
piper-ta_IN-rasa_female-medium is a text-to-speech model from tinisoft. Use it when you need text read aloud. It is set up for piper. The card lists the license as cc-by-4.0.
A Piper text-to-speech voice for Tamil (taIN), trained on the female speaker of the AI4Bharat Rasa expressive speech dataset.
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From the Hugging Face model README
A Piper text-to-speech voice for Tamil (ta_IN), trained on the female speaker of the AI4Bharat Rasa expressive speech dataset.
voice: ta)| File | Purpose |
|---|---|
ta_IN-rasa_female-medium.onnx | Voice model weights |
ta_IN-rasa_female-medium.onnx.json | Voice config (phoneme map, inference params) |
sample.wav | Demo synthesis (see "Sample sentence" below) |
Install Piper:
pip install piper-tts
Synthesize:
echo "வணக்கம், இது தமிழ் குரல் மாதிரி." \
| piper -m ta_IN-rasa_female-medium.onnx -f out.wav
Or from Python:
from piper import PiperVoice
import wave
voice = PiperVoice.load("ta_IN-rasa_female-medium.onnx")
with wave.open("out.wav", "wb") as wav:
voice.synthesize("வணக்கம், இது தமிழ் குரல் மாதிரி.", wav)
வணக்கம், இது பைப்பர் தமிழ் மாதிரிகளின் ஒப்பீட்டு சோதனை. இந்த வாக்கியம் ஒவ்வொரு குரல் மாதிரியிலும் ஒரே மாதிரியாக உருவாக்கப்படுகிறது.
Released under CC-BY-4.0, matching the license of the underlying Rasa dataset.
This model is trained on the AI4Bharat Rasa dataset. If you use this voice, please cite:
@inproceedings{ai4bharat2024rasa,
author = {Praveen Srinivasa Varadhan and Ashwin Sankar and Giri Raju and Mitesh M. Khapra},
title = {{Rasa: Building Expressive Speech Synthesis Systems for Indian Languages in Low-resource Settings}},
booktitle = {Proc. INTERSPEECH 2024},
year = {2024}
}
Dataset: ai4bharat/Rasa · Paper: arXiv 2407.14056