5 papers · 1 filter
DAFMSVC: One-Shot Singing Voice Conversion with Dual Attention Mechanism and Flow Matching
Wei Chen, Binzhu Sha, Dan Luo +4
Singing Voice Conversion (SVC) transfers a source singer's timbre to a target while keeping melody and lyrics. The key challenge in any-to-any SVC is adapting unseen speaker timbre…
Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features
Wei Chen, Binzhu Sha, Jing Yang +3
Melody preservation is crucial in singing voice conversion (SVC). However, in many scenarios, audio is often accompanied with background music (BGM), which can cause audio distorti…
RobustSVC: HuBERT-based Melody Extractor and Adversarial Learning for Robust Singing Voice Conversion
Wei Chen, Xintao Zhao, Jun Chen +3
Singing voice conversion (SVC) is hindered by noise sensitivity due to the use of non-robust methods for extracting pitch and energy during the inference. As clean signals are key…
Multi-view MidiVAE: Fusing Track- and Bar-view Representations for Long Multi-track Symbolic Music Generation
Zhiwei Lin, Jun Chen, Boshi Tang +7
Variational Autoencoders (VAEs) constitute a crucial component of neural symbolic music generation, among which some works have yielded outstanding results and attracted considerab…
Neural Concatenative Singing Voice Conversion: Rethinking Concatenation-Based Approach for One-Shot Singing Voice Conversion
Binzhu Sha, Xu Li, Zhiyong Wu +2
Any-to-any singing voice conversion (SVC) is confronted with the challenge of ``timbre leakage'' issue caused by inadequate disentanglement between the content and the speaker timb…