Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Martin, Charles Patrick"'
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
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
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
Publikováno v:
Proceedings of the International Conference on New Interfaces for Musical Expression, 2018, pp. 196-197
This paper describes the process of developing a standstill performance work using the Myo gesture control armband and the Bela embedded computing platform. The combination of Myo and Bela allows a portable and extensible version of the standstill pe
Externí odkaz:
http://arxiv.org/abs/2012.02404
Publikováno v:
Proceedings of the International Conference on New Interfaces for Musical Expression, 2020, pp. 43-48
The popularity of applying machine learning techniques in musical domains has created an inherent availability of freely accessible pre-trained neural network (NN) models ready for use in creative applications. This work outlines the implementation o
Externí odkaz:
http://arxiv.org/abs/2012.02322
Publikováno v:
Proceedings of the International Conference on New Interfaces for Musical Expression, 2020, pp. 48-52
This work examines how head-mounted AR can be used to build an interactive sonic landscape to engage with a public sculpture. We describe a sonic artwork, "Listening To Listening", that has been designed to accompany a real-world sculpture with two p
Externí odkaz:
http://arxiv.org/abs/2012.02311
The complexity of a legged robot's environment or task can inform how specialised its gait must be to ensure success. Evolving specialised robotic gaits demands many evaluations - acceptable for computer simulations, but not for physical robots. For
Externí odkaz:
http://arxiv.org/abs/1902.04403
Gaining a better understanding of how and what machine learning systems learn is important to increase confidence in their decisions and catalyze further research. In this paper, we analyze the predictions made by a specific type of recurrent neural
Externí odkaz:
http://arxiv.org/abs/1901.07859
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.