TTS Indic Server

Overview

Text to Speech (TTS) for Indian languages using ai4bharat/IndicF5 model.

Table of Contents

• Getting Started - Development
  • For Development (Local)
• Downloading Indic TTS Model
• Running with FastAPI Server
• Evaluating Results
  • Examples
    • Kannada
    • Hindi
  • Specifying a Different Format
  • Playing Back the Audio
• Building Docker Image
• Run the Docker Image
• Citations

Getting Started

For Development (Local)

• Prerequisites: Python 3.10, Ubuntu 22.04
• Steps:
  1. Create a virtual environment:

  python3.10 -m venv venv

  2. Activate the virtual environment:

  source venv/bin/activate

  On Windows, use:

  venv\Scripts\activate

  3. Install dependencies:

  pip install -r requirements.txt

Downloading TTS Models

Models can be downloaded from AI4Bharat's HuggingFace repository:

• https://huggingface.co/ai4bharat/IndicF5

  • Log in HuggingFace Account

  • Request Access to the model

  • https://huggingface.co/docs/hub/security-tokens

    • Get a Read token for your account

    export HF_TOKEN=<YOUR-READ-TOKEN-HERE>

    hf download ai4bharat/IndicF5

Local Model Run

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(
    "ಬೆಂಗಳೂರು ಕರ್ನಾಟಕ ರಾಜ್ಯದ ರಾಜಧಾನಿ ಆಗಿದೆ, ಕರ್ನಾಟಕದಲ್ಲಿ ನಾವು ಕನ್ನಡ ಮಾತನಾಡುತ್ತೇವೆ",
    ref_audio_path="prompts/KAN_F_HAPPY_00001.wav",
    ref_text="ನಮ್‌ ಫ್ರಿಜ್ಜಲ್ಲಿ  ಕೂಲಿಂಗ್‌ ಸಮಸ್ಯೆ ಆಗಿ ನಾನ್‌ ಭಾಳ ದಿನದಿಂದ ಒದ್ದಾಡ್ತಿದ್ದೆ, ಆದ್ರೆ ಅದ್ನೀಗ ಮೆಕಾನಿಕ್ ಆಗಿರೋ ನಿಮ್‌ ಸಹಾಯ್ದಿಂದ ಬಗೆಹರಿಸ್ಕೋಬೋದು ಅಂತಾಗಿ ನಿರಾಳ ಆಯ್ತು ನಂಗೆ."
)


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

• Or Run the python code

cd src/server
python tts_indic_f5.py

Running with FastAPI Server

Run the server using FastAPI

  python src/server/main.py --host 0.0.0.0 --port 10804

Evaluating Results

You can evaluate the TTS generation results using curl commands. Below are examples for Kannada audio samples.

Kannada

curl -X 'POST' \
  'http://localhost:10804/v1/audio/speech' \
  -H 'accept: */*' \
  -H 'Content-Type: application/json' \
  -d '{
  "text": "ಉದ್ಯಾನದಲ್ಲಿ ಮಕ್ಕಳ ಆಟವಾಡುತ್ತಿದ್ದಾರೆ ಮತ್ತು ಪಕ್ಷಿಗಳು ಚಿಲಿಪಿಲಿ ಮಾಡುತ್ತಿವೆ."
}' -o kannada-tts-out.wav

Hindi

curl -X 'POST' \
  'http://localhost:10804/v1/audio/speech' \
  -H 'accept: */*' \
  -H 'Content-Type: application/json' \
  -d '{
  "text": "अरे, तुम आज कैसे हो?"
}' -o hindi-tts-output.wav

Specifying a Different Format

curl -s -H "content-type: application/json" localhost:7860/v1/audio/speech -d '{"input": "Hey, how are you?", "response_type": "wav"}' -o audio.wav

• For Production (Docker)

For Production (Docker)

• Prerequisites: Docker and Docker Compose
• Steps:
  1. Start the server:

  export HF_TOKEN=<YOUR-READ-TOKEN-HERE>
  docker compose -f compose.yaml up -d

Building Docker Image

Build the Docker image locally:

docker build -t dwani/tts-indic-server:latest .

Run the Docker Image

docker run --runtime nvidia -it --rm -p 10804:10804 -e HF_TOKEN=$HF_TOKEN dwani/tts-indic-server:latest

Contributing

We welcome contributions! Please read the CONTRIBUTING.md file for guidelines on how to contribute to this project.

Also you can join the discord group to collaborate

• Reference
  • ai4bharat/indic-parler-tts

Citations

@misc{lacombe-etal-2024-parler-tts,
  author = {Yoach Lacombe and Vaibhav Srivastav and Sanchit Gandhi},
  title = {Parler-TTS},
  year = {2024},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/huggingface/parler-tts}}
}

@misc{lyth2024natural,
  title = {Natural language guidance of high-fidelity text-to-speech with synthetic annotations},
  author = {Dan Lyth and Simon King},
  year = {2024},
  eprint = {2402.01912},
  archivePrefix = {arXiv},
  primaryClass = {cs.SD}
}

@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},
}