Model Type: Text to Speech
Supported Languages: >-
Assamese, Bengali, Bodo, Gujarati, Hindi, Kannada, Malayalam, Manipuri,
Marathi, Odia, Punjabi, Rajasthani, Tamil, Telugu, Urdu
Demo: IITM-TTS Demo | This may take approximately 30 seconds to load the first time and will go idle after 15 minutes of inactivity.
Fastspeech2_HS_Flask_API
This repository contains the Flask API implementation of the Text to Speech Model developed by the Speech Lab at IIT Madras. For a comprehensive understanding of the models and inference details, please consult the original repository Fastspeech2_HS.
Table of Contents
Setup
Some of the large files in this repo are uploaded using git lfs. Install latest git LFS by following the given commands:
Some of the large files in this repository have been uploaded using Git-LFS. To ensure seamless handling of these files, please install Git-LFS by executing the provided commands:
curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.python.sh | bash
sudo apt-get install git-lfs
git lfs install
The entire repository, including the models, has been uploaded to Hugging Face "Fastspeech2_HS_Flask_API" due to size restrictions on GitHub for Git LFS. To clone the repository from Hugging Face, please use the following command:
git clone https://huggingface.co/k-m-irfan/Fastspeech2_HS_Flask_API
Alternatively, you can download the models from the original repository Fastspeech2_HS and organize the folder structure as specified below. Skip this step if already cloned the repository from Hugging Face.
models
├── hindi
│ ├── female
│ └── male
├── tamil
│ ├── female
│ └── male
.
.
.
└── marathi
├── female
└── male
Installation:
Create a virtual environment and activate it:
python3 -m venv tts-hs-hifigan
source tts-hs-hifigan/bin/activate
Install the required dependencies by running:
pip install -r requirements.txt
Run Flask server:
Ensure the server application is running correctly before proceeding. Use the following commands and check for any errors:
python3 flask_app.py
# OR
gunicorn -w 2 -b 0.0.0.0:5000 flask_app:app --timeout 600
If the application is running without any issues, proceed to start the server using the following command:
bash start.sh
Citation for the original repo
If you use this Fastspeech2 Model in your research or work, please consider citing:
“ COPYRIGHT 2023, Speech Technology Consortium, Bhashini, MeiTY and by Hema A Murthy & S Umesh, DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING and ELECTRICAL ENGINEERING, IIT MADRAS. ALL RIGHTS RESERVED "
Shield: 
This work is licensed under a Creative Commons Attribution 4.0 International License.
