FlashSpeech: Efficient Zero-Shot Speech Synthesis

no code implementations • 23 Apr 2024 • Zhen Ye, Zeqian Ju, Haohe Liu, Xu Tan, Jianyi Chen, Yiwen Lu, Peiwen Sun, Jiahao Pan, Weizhen Bian, Shulin He, Qifeng Liu, Yike Guo, Wei Xue

The generation processes of FlashSpeech can be achieved efficiently with one or two sampling steps while maintaining high audio quality and high similarity to the audio prompt for zero-shot speech generation.

SICRN: Advancing Speech Enhancement through State Space Model and Inplace Convolution Techniques

no code implementations • 22 Feb 2024 • Changjiang Zhao, Shulin He, Xueliang Zhang

Speech enhancement aims to improve speech quality and intelligibility, especially in noisy environments where background noise degrades speech signals.

Speech Enhancement

TEA-PSE 3.0: Tencent-Ethereal-Audio-Lab Personalized Speech Enhancement System For ICASSP 2023 DNS Challenge

no code implementations • 14 Mar 2023 • Yukai Ju, Jun Chen, Shimin Zhang, Shulin He, Wei Rao, Weixin Zhu, Yannan Wang, Tao Yu, Shidong Shang

This paper introduces the Unbeatable Team's submission to the ICASSP 2023 Deep Noise Suppression (DNS) Challenge.

Speech Enhancement

ExARN: self-attending RNN for target speaker extraction

no code implementations • 2 Dec 2022 • Pengjie Shen, Shulin He, Xueliang Zhang

Target speaker extraction is to extract the target speaker, specified by enrollment utterance, in an environment with other competing speakers.

Speaker Identification Target Speaker Extraction

Speakerfilter-Pro: an improved target speaker extractor combines the time domain and frequency domain

no code implementations • 25 Oct 2020 • Shulin He, Hao Li, Xueliang Zhang

This paper introduces an improved target speaker extractor, referred to as Speakerfilter-Pro, based on our previous Speakerfilter model.

Speech Separation