Lip-Sync Video Generation

This project generates a lip-synced video based on an original video and translated subtitles.

generate_Lipsync_videos - In this project, we maintained the constant speed of the audio and slowed down the video by interpolating the video frames. This approach ensured proper synchronization between the audio and video, resulting in a video duration longer than the original.

Prerequisites

Conda
Python 3.8

Setup

Clone the repository:

git clone https://huggingface.co/smtiitm/generate_lipsynced_videos_IITM_API
cd generate_lipsynced_videos_IITM_API    #generate_Lipsync_videos

Create and activate the conda environment:

conda create -n lipsync_env python=3.8
conda activate lipsync_env

Install the required packages:
```
pip install -r requirements.txt
```
Currently the code uses our APIs for text-to-speech generation. You can use your own TTS API (make sure to use the correct payload given in vtt_to_speech.py file) URL in srt_to_audio_original file. The current APIs are local to the lab and can be requested via mail.

Usage

Edit the run_script.sh file to assign the paths to your original video and translated subtitles:

original_video_path="path/to/original_video.mp4"
translated_srt_path="path/to/translated_subtitles.srt"

Assign the target language code in run_script.sh:

target_language_code="hin"  # Example: 'hin' for Hindi

Run the script:
```
./run_script.sh
```
Current supported sampling rate is 22.5KHz and .wav format is preferred.

Supported Languages

Hindi (hin)
Malayalam (mal)
Kannada (kan)
Bengali (bn)
Urdu (ur)
Telugu (tel)
Punjabi (pun)
Marathi (mar)
Gujarati (guj)
Tamil (tam)
English (en)

Citation

If you use this repo in your research or work, please consider citing:

Bhashini, MeiTY and by Hema A Murthy & S Umesh,

Shield:

This work is licensed under a Creative Commons Attribution 4.0 International License.