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pro vyhledávání: '"Scott H. Hawley"'
Autor:
Andrew Morrison, Scott H. Hawley
Publikováno v:
The Journal of the Acoustical Society of America. 150:2434-2445
We train an object detector built from convolutional neural networks to count interference fringes in elliptical antinode regions in frames of high-speed video recordings of transient oscillations in Caribbean steelpan drums, illuminated by electroni
Publikováno v:
The Journal of the Acoustical Society of America. 152:A178-A178
The field of machine learning has benefited from the appearance of diffusion-based generative models for images and audio. While text-to-image models have become increasingly prevalent, text-to-audio generative models are currently an active area of
Publikováno v:
The Journal of the Acoustical Society of America. 152:A178-A178
Ever since the work of Castellon, Donahue, and Liang (ISMIR 2021) showed that latent space “embedding” representations encoded by OpenAI's Jukebox model contain semantically meaningful information about the music, many have wondered whether such
Autor:
Scott H. Hawley
Publikováno v:
The Journal of the Acoustical Society of America. 151:A230-A230
We present a survey of available frameworks for developing acoustical signal processing models based on deep neural networks. Given that this is a dynamic space with new frameworks, libraries, and even companies appearing on timescales measured in mo
Publikováno v:
JASA Express Letters. 2:023201
This paper presents advancements in tracking features in high-speed videos of Caribbean steelpans illuminated by electronic speckle pattern interferometry, made possible by incorporating robust computer vision libraries for object detection and image
Autor:
Scott H. Hawley, Andrew Morrison
Publikováno v:
The Journal of the Acoustical Society of America. 150:A174-A174
Applying a machine learning based object detector to high-speed videos of Caribbean steelpan drums illuminated by laser electronic speckle pattern interferometry (ESPI), we can track the development of sympathetic vibrations in response to drum strik
Autor:
Scott H. Hawley
Publikováno v:
The Transhumanism Handbook ISBN: 9783030169190
Visions of future applications of artificial intelligence (AI) tend to veer toward the naively optimistic or frighteningly dystopian, neglecting the numerous human factors necessarily involved in the design, deployment and oversight of such systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ae311f1a263e19cf4d876283fcf643
https://doi.org/10.1007/978-3-030-16920-6_14
https://doi.org/10.1007/978-3-030-16920-6_14
Autor:
Scott H. Hawley
Publikováno v:
The Journal of the Acoustical Society of America. 149:A45-A45
Autor:
Scott H. Hawley
Publikováno v:
Acoustics Today. 16:20
Autor:
Scott H. Hawley, Carol Johnson
Publikováno v:
International Journal on Innovations in Online Education.
The increased development and learning benefits of online learning technologies have prompted music educators to rethink the possibilities of learning music online (Crawford, 2013). Found throughout the Internet on sites such as Online Academy of Iri