This repository contains the official implementation of the paper Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model.
If you find this code useful in your research, please consider citing our paper:
@inproceedings{zhang-etal-2024-speaking,
title = "Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model",
author = "Zhang, Xiangyu and
Liu, Daijiao and
Liu, Hexin and
Zhang, Qiquan and
Meng, Hanyu and
Garcia Perera, Leibny Paola and
Chng, EngSiong and
Yao, Lina",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.emnlp-main.9/",
doi = "10.18653/v1/2024.emnlp-main.9",
pages = "159--171",
}