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pro vyhledávání: '"Martin, Charles"'
We present SoundMorpher, a sound morphing method that generates perceptually uniform morphing trajectories using a diffusion model. Traditional sound morphing methods models the intractable relationship between morph factor and perception of the stim
Externí odkaz:
http://arxiv.org/abs/2410.02144
Research into tonal music examines the structural relationships among sounds and how they align with our auditory perception. The exploration of integrating tonal cognition into sonic interaction design, particularly for practitioners lacking extensi
Externí odkaz:
http://arxiv.org/abs/2408.17012
We present SoundLoCD, a novel text-to-sound generation framework, which incorporates a LoRA-based conditional discrete contrastive latent diffusion model. Unlike recent large-scale sound generation models, our model can be efficiently trained under l
Externí odkaz:
http://arxiv.org/abs/2405.15338
Autor:
Andres, Josh, Danta, Chris, Bianchi, Andrea, Hong, Sungyeon, Li, Zhuying, Sandoval, Eduardo B., Martin, Charles, Cooper, Ned
Generative AI capabilities are rapidly transforming how we perceive, interact with, and relate to machines. This one-day workshop invites HCI researchers, designers, and practitioners to imaginatively inhabit and explore the possible futures that mig
Externí odkaz:
http://arxiv.org/abs/2404.18405
Publikováno v:
Proc. Interspeech 2024, 4368-4372
We introduce HybridVC, a voice conversion (VC) framework built upon a pre-trained conditional variational autoencoder (CVAE) that combines the strengths of a latent model with contrastive learning. HybridVC supports text and audio prompts, enabling m
Externí odkaz:
http://arxiv.org/abs/2404.15637
Autor:
Zhou, Yefan, Pang, Tianyu, Liu, Keqin, Martin, Charles H., Mahoney, Michael W., Yang, Yaoqing
Regularization in modern machine learning is crucial, and it can take various forms in algorithmic design: training set, model family, error function, regularization terms, and optimizations. In particular, the learning rate, which can be interpreted
Externí odkaz:
http://arxiv.org/abs/2312.00359