activity
20202026
most citedAny-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling

84 citations · 126 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SD2026

HeartMuLa: A Family of Open Sourced Music Foundation Models

Dongchao Yang, Yuxin Xie, Yuguo Yin +26

We present a family of open-source Music Foundation Models designed to advance large-scale music understanding and generation across diverse tasks and modalities. Our framework con…

eess.AS2021★ 3 cited

DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion

Songxiang Liu, Yuewen Cao, Dan Su +1

Singing voice conversion (SVC) is one promising technique which can enrich the way of human-computer interaction by endowing a computer the ability to produce high-fidelity and exp…

cs.SD2021★ 15 cited

VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention

Peng Liu, Yuewen Cao, Songxiang Liu +4

This paper proposes VARA-TTS, a non-autoregressive (non-AR) text-to-speech (TTS) model using a very deep Variational Autoencoder (VDVAE) with Residual Attention mechanism, which re…

eess.AS2020★ 2 cited

FastSVC: Fast Cross-Domain Singing Voice Conversion with Feature-wise Linear Modulation

Songxiang Liu, Yuewen Cao, Na Hu +2

This paper presents FastSVC, a light-weight cross-domain singing voice conversion (SVC) system, which can achieve high conversion performance, with inference speed 4x faster than r…

eess.AS2020★ 84 cited

Any-to-Many Voice Conversion with Location-Relative Sequence-to-Sequence Modeling

Songxiang Liu, Yuewen Cao, Disong Wang +3

This paper proposes an any-to-many location-relative, sequence-to-sequence (seq2seq), non-parallel voice conversion approach, which utilizes text supervision during training. In th…

eess.AS2020★ 2 cited

Transferring Source Style in Non-Parallel Voice Conversion

Songxiang Liu, Yuewen Cao, Shiyin Kang +5

Voice conversion (VC) techniques aim to modify speaker identity of an utterance while preserving the underlying linguistic information. Most VC approaches ignore modeling of the sp…

eess.AS2020★ 11 cited

Multi-Target Emotional Voice Conversion With Neural Vocoders

Songxiang Liu, Yuewen Cao, Helen Meng

Emotional voice conversion (EVC) is one way to generate expressive synthetic speech. Previous approaches mainly focused on modeling one-to-one mapping, i.e., conversion from one em…

eess.AS2020★ 9 cited

Emotional Voice Conversion With Cycle-consistent Adversarial Network

Songxiang Liu, Yuewen Cao, Helen Meng

Emotional Voice Conversion, or emotional VC, is a technique of converting speech from one emotion state into another one, keeping the basic linguistic information and speaker ident…