1 citations · 2 across the 8 of their papers we have counts for
8 papers · 1 filter
Where Does Timbre Hide? Localizing Speaker Information in Speech Signals
Yiquan Zhou, Yixuan Wang, Xiaozhe Qi +2
Timbre similarity is a key evaluation target for generative speech systems, including voice conversion, speaker-cloning text-to-speech, and zero-shot speech models. When the genera…
Controllable Singing Style Conversion with Boundary-Aware Information Bottleneck
Zhetao Hu, Yiquan Zhou, Wenyu Wang +3
This paper presents the submission of the S4 team to the Singing Voice Conversion Challenge 2025 (SVCC2025)-a novel singing style conversion system that advances fine-grained style…
IndexTTS 2.5 Technical Report
Yunpei Li, Xun Zhou, Jinchao Wang +11
In prior work, we introduced IndexTTS 2, a zero-shot neural text-to-speech foundation model comprising two core components: a transformer-based Text-to-Semantic (T2S) module and a…
FabasedVC: Enhancing Voice Conversion with Text Modality Fusion and Phoneme-Level SSL Features
Wenyu Wang, Zhetao Hu, Yiquan Zhou +4
In voice conversion (VC), it is crucial to preserve complete semantic information while accurately modeling the target speaker's timbre and prosody. This paper proposes FabasedVC t…
AVENet: Disentangling Features by Approximating Average Features for Voice Conversion
Wenyu Wang, Yiquan Zhou, Jihua Zhu +3
Voice conversion (VC) has made progress in feature disentanglement, but it is still difficult to balance timbre and content information. This paper evaluates the pre-trained model…
SYKI-SVC: Advancing Singing Voice Conversion with Post-Processing Innovations and an Open-Source Professional Testset
Yiquan Zhou, Wenyu Wang, Hongwu Ding +4
Singing voice conversion aims to transform a source singing voice into that of a target singer while preserving the original lyrics, melody, and various vocal techniques. In this p…
FGCL: Fine-grained Contrastive Learning For Mandarin Stuttering Event Detection
Han Jiang, Wenyu Wang, Yiquan Zhou +3
This paper presents the T031 team's approach to the StutteringSpeech Challenge in SLT2024. Mandarin Stuttering Event Detection (MSED) aims to detect instances of stuttering events…
VITS-based Singing Voice Conversion System with DSPGAN post-processing for SVCC2023
Yiquan Zhou, Meng Chen, Yi Lei +2
This paper presents the T02 team's system for the Singing Voice Conversion Challenge 2023 (SVCC2023). Our system entails a VITS-based SVC model, incorporating three modules: a feat…