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pro vyhledávání: '"Martin, Charles P."'
We present SoundMorpher, an open-world sound morphing method designed to generate perceptually uniform morphing trajectories. Traditional sound morphing techniques typically assume a linear relationship between the morphing factor and sound perceptio
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
We propose the stochastic optimal path which solves the classical optimal path problem by a probability-softening solution. This unified approach transforms a wide range of DP problems into directed acyclic graphs in which all paths follow a Gibbs di
Externí odkaz:
http://arxiv.org/abs/2306.02568
Autor:
Martin Charles Golumbic
Publikováno v:
AKCE International Journal of Graphs and Combinatorics, Vol 21, Iss 2, Pp 209-217 (2024)
Mathematical explorations steer us through fields and forests of applications where science and computing meet discrete structures and combinatorics. Today’s excursion takes us on one of the speaker’s favorite journeys in the world of algorithmic
Externí odkaz:
https://doaj.org/article/9f02a3ce00fc4474ab6be0367e971d43
Autor:
Wallace, Benedikte, Martin, Charles P.
What role does the break from realism play in the potential for generative artificial intelligence as a creative tool? Through exploration of glitch, we examine the prospective value of these artefacts in creative practice. This paper describes findi
Externí odkaz:
http://arxiv.org/abs/2210.09291
A poset is a containment of paths in a tree (CPT) if it admits a representation by containment where each element of the poset is represented by a path in a tree and two elements are comparable in the poset if and only if the corresponding paths are
Externí odkaz:
http://arxiv.org/abs/2204.04729