14 citations · 17 across the 13 of their papers we have counts for
7 papers · 1 filter
MMGenre: Benchmarking Singing Voice Synthesis across Multiple Musical Genres
Wenhao Feng, Yuxun Tang, Jiatong Shi +1
Singing voice synthesis (SVS) has progressed rapidly, yet its ability to generalize across diverse musical genres remains underexplored. Existing benchmarks are heavily biased towa…
An Extensive Analysis of the Singing Voice Conversion Challenge 2025 Evaluation Results
Lester Phillip Violeta, Xueyao Zhang, Jiatong Shi +4
We present a thorough analysis of the findings of the latest iteration of the Singing Voice Conversion Challenge, a scientific event aiming to compare and understand different voic…
SingMOS: An extensive Open-Source Singing Voice Dataset for MOS Prediction
Yuxun Tang, Jiatong Shi, Yuning Wu +1
In speech generation tasks, human subjective ratings, usually referred to as the opinion score, are considered the "gold standard" for speech quality evaluation, with the mean opin…
SingOMD: Singing Oriented Multi-resolution Discrete Representation Construction from Speech Models
Yuxun Tang, Yuning Wu, Jiatong Shi +1
Discrete representation has shown advantages in speech generation tasks, wherein discrete tokens are derived by discretizing hidden features from self-supervised learning (SSL) pre…
TokSing: Singing Voice Synthesis based on Discrete Tokens
Yuning Wu, Chunlei zhang, Jiatong Shi +3
Recent advancements in speech synthesis witness significant benefits by leveraging discrete tokens extracted from self-supervised learning (SSL) models. Discrete tokens offer highe…
The Interspeech 2024 Challenge on Speech Processing Using Discrete Units
Xuankai Chang, Jiatong Shi, Jinchuan Tian +7
Representing speech and audio signals in discrete units has become a compelling alternative to traditional high-dimensional feature vectors. Numerous studies have highlighted the e…
VISinger2+: End-to-End Singing Voice Synthesis Augmented by Self-Supervised Learning Representation
Yifeng Yu, Jiatong Shi, Yuning Wu +2
Singing Voice Synthesis (SVS) has witnessed significant advancements with the advent of deep learning techniques. However, a significant challenge in SVS is the scarcity of labeled…