VHASR: A Multimodal Speech Recognition System With Vision Hotwords
This repository provides the VHASR trained on COCO.
Our paper is available at https://arxiv.org/abs/2410.00822.
Our code is available at https://github.com/193746/VHASR/tree/main.
For specific details about training and testing, please refer to https://github.com/193746/VHASR/tree/main.
Infer
If you are interested in our work, you can use large-scale data to train your own model and perform inference using the following command. Note that you should place the config file of clip in '{model_file}/clip_config' like the four pretrained models we provide.
cd VHASR
CUDA_VISIBLE_DEVICES=1 python src/infer.py \
--model_name "{path_to_model_folder}" \
--speech_path "{path_to_speech}" \
--image_path "{path_to_image}" \
--merge_method 3
Citation
@misc{hu2024vhasrmultimodalspeechrecognition,
title={VHASR: A Multimodal Speech Recognition System With Vision Hotwords},
author={Jiliang Hu and Zuchao Li and Ping Wang and Haojun Ai and Lefei Zhang and Hai Zhao},
year={2024},
eprint={2410.00822},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2410.00822},
}