10 papers
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…
ANCHOR: Autoregressive Non-intrusive Chunk-Ordered Refinement for Joint Multi-Resolution Speech Quality Modeling
Zhuoyan Tao, Jiatong Shi, Hye-jin Shim +1
While speech quality is typically assessed on complete utterances, streaming and generative systems require incremental estimation from partial audio. Existing predictors assume fu…
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-Pro: An Comprehensive Benchmark for Singing Quality Assessment
Yuxun Tang, Lan Liu, Wenhao Feng +5
Singing voice generation progresses rapidly, yet evaluating singing quality remains a critical challenge. Human subjective assessment, typically in the form of listening tests, is…
SingingSDS: A Singing-Capable Spoken Dialogue System for Conversational Roleplay Applications
Jionghao Han, Jiatong Shi, Masao Someki +5
With recent advances in automatic speech recognition (ASR), large language models (LLMs), and text-to-speech (TTS) technologies, spoken dialogue systems (SDS) have become widely ac…
Adapting Speech Language Model to Singing Voice Synthesis
Yiwen Zhao, Jiatong Shi, Jinchuan Tian +4
Speech Language Models (SLMs) have recently emerged as a unified paradigm for addressing a wide range of speech-related tasks, including text-to-speech (TTS), speech enhancement (S…