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eess.AS2026

MSVAE: Rethinking Musical Semantics in Continuous Latent Spaces

Guobin Ma, Yuepeng Jiang, Dake Guo +15

Continuous latent representations underlie recent diffusion-based lyrics-to-song and text-to-music systems, yet aligning lyric conditions with these latents remains difficult: exis…

eess.AS2026

Rethinking Music Tokenization: A Semantic Codec toward High-Fidelity LLM Music Generation

Huakang Chen, Guobin Ma, Yuepeng Jiang +10

Discrete audio tokenization has become the critical interface between raw waveforms and autoregressive modeling in recent music generation. As a result, music tokenizers must simul…

eess.AS2026

MeanVC 2: Robust Low-Latency Streaming Zero-Shot Voice Conversion

Guobin Ma, Yuxuan Xia, Yuepeng Jiang +6

Streaming zero-shot voice conversion (VC) has become increasingly popular due to its potential for real-time applications. The recently proposed MeanVC achieves lightweight streami…

eess.AS2026

S2Accompanist: A Semantic-Aware and Structure-Guided Diffusion Model for Music Accompaniment Generation

Huakang Chen, Wenkai Cheng, Guobin Ma +7

High-fidelity text-to-music generation typically relies on massive proprietary datasets and immense computational resources. Existing models often struggle to generate coherent pur…

eess.AS2026

SoulX-Singer: Towards High-Quality Zero-Shot Singing Voice Synthesis

Jiale Qian, Hao Meng, Tian Zheng +17

While recent years have witnessed rapid progress in speech synthesis, open-source singing voice synthesis (SVS) systems still face significant barriers to industrial deployment, pa…

eess.AS2025

Semantic-VAE: Semantic-Alignment Latent Representation for Better Speech Synthesis

Zhikang Niu, Shujie Hu, Jeongsoo Choi +8

Mel-spectrograms have been widely used in zero-shot text-to-speech (TTS); their inherent redundancy leads to inefficiency in text-speech alignment. Compact VAE-based latent represe…