activity
20192026
most citedDurIAN: Duration Informed Attention Network For Multimodal Synthesis

94 citations · 98 across the 8 of their papers we have counts for

collaborators

9 papers

eess.AS2026

InstCharVoice: Grounding Natural-Language Instructions for Character-Level Control in Text-to-Speech

Sihang Nie, Xueru Li, Xiaofen Xing +4

Instruction-based text-to-speech (ITTS) systems enable natural-language control of expressive speech generation, but often offer limited transparency and fine-grained control over…

eess.AS2026

WordVoice: Explicit and Decoupled Multi-Dimensional Word-Level Control for LLM-Based TTS

Sihang Nie, Jinxin Ji, Xiaofen Xing +4

While recent Large Language Model (LLM)-based Text-to-Speech (TTS) systems have achieved remarkable naturalness, they predominantly rely on implicit end-to-end generation paradigms…

cs.SD2023

Towards Improving the Expressiveness of Singing Voice Synthesis with BERT Derived Semantic Information

Shaohuan Zhou, Shun Lei, Weiya You +5

This paper presents an end-to-end high-quality singing voice synthesis (SVS) system that uses bidirectional encoder representation from Transformers (BERT) derived semantic embeddi…

cs.SD2023

Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information

Jie Chen, Changhe Song, Deyi Tuo +4

For text-to-speech (TTS) synthesis, prosodic structure prediction (PSP) plays an important role in producing natural and intelligible speech. Although inter-utterance linguistic in…

cs.SD2023

CoverHunter: Cover Song Identification with Refined Attention and Alignments

Feng Liu, Deyi Tuo, Yinan Xu +1

Abstract: Cover song identification (CSI) focuses on finding the same music with different versions in reference anchors given a query track. In this paper, we propose a novel syst…

cs.SD2022

FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement

Jun Chen, Zilin Wang, Deyi Tuo +3

Previously proposed FullSubNet has achieved outstanding performance in Deep Noise Suppression (DNS) Challenge and attracted much attention. However, it still encounters issues such…

cs.SD2022★ 1 cited

Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion

Xintao Zhao, Feng Liu, Changhe Song +4

Non-parallel data voice conversion (VC) have achieved considerable breakthroughs recently through introducing bottleneck features (BNFs) extracted by the automatic speech recogniti…

eess.AS2020★ 3 cited

Speaker Independent and Multilingual/Mixlingual Speech-Driven Talking Head Generation Using Phonetic Posteriorgrams

Huirong Huang, Zhiyong Wu, Shiyin Kang +9

Generating 3D speech-driven talking head has received more and more attention in recent years. Recent approaches mainly have following limitations: 1) most speaker-independent meth…

cs.CL2019★ 94 cited

DurIAN: Duration Informed Attention Network For Multimodal Synthesis

Chengzhu Yu, Heng Lu, Na Hu +9

In this paper, we present a generic and robust multimodal synthesis system that produces highly natural speech and facial expression simultaneously. The key component of this syste…