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20232025
most citedInterpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge

1 citations · 2 across the 6 of their papers we have counts for

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6 papers

cs.SD2025

A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement

Shenghui Lu, Hukai Huang, Jinanglong Yao +3

This paper proposes a model that integrates sub-band processing and deep filtering to fully exploit information from the target time-frequency (TF) bin and its surrounding TF bins…

cs.SD2025

DS-Codec: Dual-Stage Training with Mirror-to-NonMirror Architecture Switching for Speech Codec

Peijie Chen, Wenhao Guan, Kaidi Wang +4

Neural speech codecs are essential for advancing text-to-speech (TTS) systems. With the recent success of large language models in text generation, developing high-quality speech t…

cs.SD2025

Discl-VC: Disentangled Discrete Tokens and In-Context Learning for Controllable Zero-Shot Voice Conversion

Kaidi Wang, Wenhao Guan, Ziyue Jiang +5

Currently, zero-shot voice conversion systems are capable of synthesizing the voice of unseen speakers. However, most existing approaches struggle to accurately replicate the speak…

cs.SD2024

Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM

Fengrun Zhang, Wang Geng, Hukai Huang +3

In this paper, we introduce a speech-conditioned Large Language Model (LLM) integrated with a Mixture of Experts (MoE) based connector to address the challenge of Code-Switching (C…

eess.AS20241 cited

MM-TTS: Multi-modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis

Wenhao Guan, Yishuang Li, Tao Li +6

The style transfer task in Text-to-Speech refers to the process of transferring style information into text content to generate corresponding speech with a specific style. However,…

cs.SD20231 cited

Interpretable Style Transfer for Text-to-Speech with ControlVAE and Diffusion Bridge

Wenhao Guan, Tao Li, Yishuang Li +3

With the demand for autonomous control and personalized speech generation, the style control and transfer in Text-to-Speech (TTS) is becoming more and more important. In this paper…