IndicF5: High-Quality Text-to-Speech for Indian Languages

We release IndicF5, a near-human polyglot Text-to-Speech (TTS) model trained on 1417 hours of high-quality speech from Rasa, IndicTTS, LIMMITS, and IndicVoices-R.

IndicF5 supports 11 Indian languages:
Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu.

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🚀 Installation

conda create -n indicf5 python=3.10 -y
conda activate indicf5
pip install git+https://github.com/ai4bharat/IndicF5.git

🎙 Usage

To generate speech, you need to provide three inputs:

1. Text to synthesize – The content you want the model to speak.
2. A reference prompt audio – An example speech clip that guides the model’s prosody and speaker characteristics.
3. Text spoken in the reference prompt audio – The transcript of the reference prompt audio.

from transformers import AutoModel
import numpy as np
import soundfile as sf

# Load INF5 from Hugging Face
repo_id = "ai4bharat/IndicF5"
model = AutoModel.from_pretrained(repo_id, trust_remote_code=True)

# Generate speech
audio = model(
    "नमस्ते! संगीत की तरह जीवन भी खूबसूरत होता है, बस इसे सही ताल में जीना आना चाहिए.",
    ref_audio_path="prompts/PAN_F_HAPPY_00001.wav",
    ref_text="ਭਹੰਪੀ ਵਿੱਚ ਸਮਾਰਕਾਂ ਦੇ ਭਵਨ ਨਿਰਮਾਣ ਕਲਾ ਦੇ ਵੇਰਵੇ ਗੁੰਝਲਦਾਰ ਅਤੇ ਹੈਰਾਨ ਕਰਨ ਵਾਲੇ ਹਨ, ਜੋ ਮੈਨੂੰ ਖੁਸ਼ ਕਰਦੇ  ਹਨ।"
)

# Normalize and save output
if audio.dtype == np.int16:
    audio = audio.astype(np.float32) / 32768.0
sf.write("samples/namaste.wav", np.array(audio, dtype=np.float32), samplerate=24000)

References

We would like to extend our gratitude to the authors of F5-TTS for their invaluable contributions and inspiration to this work. Their efforts have played a crucial role in advancing the field of text-to-speech synthesis.

📖 Citation

If you use IndicF5 in your research or projects, please consider citing it:

🔹 BibTeX

@misc{AI4Bharat_IndicF5_2025,
  author       = {Praveen S V and Srija Anand and Soma Siddhartha and Mitesh M. Khapra},
  title        = {IndicF5: High-Quality Text-to-Speech for Indian Languages},
  year         = {2025},
  url          = {https://github.com/AI4Bharat/IndicF5},
}