14 citations · 14 across the 4 of their papers we have counts for
4 papers
ACE-Step 1.5: Pushing the Boundaries of Open-Source Music Generation
Junmin Gong, Yulin Song, Wenxiao Zhao +4
We present ACE-Step v1.5, a highly efficient open-source music foundation model that brings commercial-grade generation to consumer hardware. On commonly used evaluation metrics, A…
ACE-Step: A Step Towards Music Generation Foundation Model
Junmin Gong, Sean Zhao, Sen Wang +2
We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key limitations of existing approaches and achieves state-of-the-art performance thr…
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection
Yongyi Zang, Jiatong Shi, You Zhang +8
Recent singing voice synthesis and conversion advancements necessitate robust singing voice deepfake detection (SVDD) models. Current SVDD datasets face challenges due to limited c…
RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
Shengyuan Xu, Wenxiao Zhao, Jing Guo
Most GAN(Generative Adversarial Network)-based approaches towards high-fidelity waveform generation heavily rely on discriminators to improve their performance. However, GAN method…