arXiv:1912.11747
공식 코드 · Papers with Code
Score and Lyrics-Free Singing Voice Generation
원문 초록
Generative models for singing voice have been mostly concerned with the task of ``singing voice synthesis,'' i.e., to produce singing voice waveforms given musical scores and text lyrics. In this work, we explore a novel yet challenging alternative: singing voice generation without pre-assigned scores and lyrics, in both training and inference time. In particular, we outline three such generation schemes, and propose a pipeline to tackle these new tasks. Moreover, we implement such models using generative adversarial networks and evaluate them both objectively and subjectively.
함께 살펴볼 논문
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Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus
RefineGAN: Universally Generating Waveform Better than Ground Truth with Highly Accurate Pitch and Intensity Responses
BemaGANv2: A Tutorial and Comparative Survey of GAN-based Vocoders for Long-Term Audio Generation
XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Conditional Diffusion Models with Classifier-Free Gibbs-like Guidance
TCSinger 2: Customizable Multilingual Zero-shot Singing Voice Synthesis
토론
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