Publications (5)
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…
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…
Borderless Long Speech Synthesis
Xingchen Song, Di Wu, Dinghao Zhou +12
Most existing text-to-speech (TTS) systems either synthesize speech sentence by sentence and stitch the results together, or drive synthesis from plain-text dialogues alone. Both a…
SyncVoice: Towards Video Dubbing with Vision-Augmented Pretrained TTS Model
Kaidi Wang, Yi He, Wenhao Guan +8
Video dubbing aims to generate high-fidelity speech that is precisely temporally aligned with the visual content. Existing methods still suffer from limitations in speech naturalne…
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…