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20212026
most citedTHLNet: two-stage heterogeneous lightweight network for monaural speech enhancement

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2026

HoliDubber: Holistic Video Dubbing for Complex Acoustic Scenes via Text-Guided Audio Synthesis

Wenhao Guan, Yifan Duan, Junxi Liu +6

Video dubbing is a cornerstone of multimedia content creation, aiming to synthesize synchronized acoustic sequences for visual streams. While Text-to-Speech (TTS) and Text-to-Audio…

cs.SD2025

JoyVoice: Long-Context Conditioning for Anthropomorphic Multi-Speaker Conversational Synthesis

Fan Yu, Tao Wang, You Wu +22

Large speech generation models are evolving from single-speaker, short sentence synthesis to multi-speaker, long conversation geneartion. Current long-form speech generation models…

cs.SD2023

ForkNet: Simultaneous Time and Time-Frequency Domain Modeling for Speech Enhancement

Feng Dang, Qi Hu, Pengyuan Zhang +1

Previous research in speech enhancement has mostly focused on modeling time or time-frequency domain information alone, with little consideration given to the potential benefits of…

cs.SD2023★ 1 cited

THLNet: two-stage heterogeneous lightweight network for monaural speech enhancement

Feng Dang, Qi Hu, Pengyuan Zhang

In this paper, we propose a two-stage heterogeneous lightweight network for monaural speech enhancement. Specifically, we design a novel two-stage framework consisting of a coarse-…

cs.SD2021

DPT-FSNet: Dual-path Transformer Based Full-band and Sub-band Fusion Network for Speech Enhancement

Feng Dang, Hangting Chen, Pengyuan Zhang

Sub-band models have achieved promising results due to their ability to model local patterns in the spectrogram. Some studies further improve the performance by fusing sub-band and…

eess.AS2021

Beam-Guided TasNet: An Iterative Speech Separation Framework with Multi-Channel Output

Hangting Chen, Yang Yi, Dang Feng +1

Time-domain audio separation network (TasNet) has achieved remarkable performance in blind source separation (BSS). Classic multi-channel speech processing framework employs signal…