1 citations · 1 across the 6 of their papers we have counts for
6 papers
Drop the beat! Freestyler for Accompaniment Conditioned Rapping Voice Generation
Ziqian Ning, Shuai Wang, Yuepeng Jiang +5
Rap, a prominent genre of vocal performance, remains underexplored in vocal generation. General vocal synthesis depends on precise note and duration inputs, requiring users to have…
WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark
Linhan Ma, Dake Guo, Kun Song +7
With the development of large text-to-speech (TTS) models and scale-up of the training data, state-of-the-art TTS systems have achieved impressive performance. In this paper, we pr…
Towards Expressive Zero-Shot Speech Synthesis with Hierarchical Prosody Modeling
Yuepeng Jiang, Tao Li, Fengyu Yang +3
Recent research in zero-shot speech synthesis has made significant progress in speaker similarity. However, current efforts focus on timbre generalization rather than prosody model…
HiGNN-TTS: Hierarchical Prosody Modeling with Graph Neural Networks for Expressive Long-form TTS
Dake Guo, Xinfa Zhu, Liumeng Xue +4
Recent advances in text-to-speech, particularly those based on Graph Neural Networks (GNNs), have significantly improved the expressiveness of short-form synthetic speech. However,…
VITS-Based Singing Voice Conversion Leveraging Whisper and multi-scale F0 Modeling
Ziqian Ning, Yuepeng Jiang, Zhichao Wang +2
This paper introduces the T23 team's system submitted to the Singing Voice Conversion Challenge 2023. Following the recognition-synthesis framework, our singing conversion model is…
DualVC: Dual-mode Voice Conversion using Intra-model Knowledge Distillation and Hybrid Predictive Coding
Ziqian Ning, Yuepeng Jiang, Pengcheng Zhu +4
Voice conversion is an increasingly popular technology, and the growing number of real-time applications requires models with streaming conversion capabilities. Unlike typical (non…