Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Stefano Fasciani"'
Publikováno v:
Frontiers in Signal Processing, Vol 3 (2024)
Numerical emulations of the piano have been a subject of study since the early days of sound synthesis. High-accuracy sound synthesis of acoustic instruments employs physical modeling techniques which aim to describe the system’s internal mechanism
Externí odkaz:
https://doaj.org/article/bb49f130d4ed4ad3ab1b5ed3b73da097
Publikováno v:
Applied Sciences, Vol 11, Iss 11, p 4880 (2021)
Recent methodologies for audio classification frequently involve cepstral and spectral features, applied to single channel recordings of acoustic scenes and events. Further, the concept of transfer learning has been widely used over the years, and ha
Externí odkaz:
https://doaj.org/article/f8cdd6f06bbc41a1931cf55967f9ce48
Publikováno v:
2022 7th International Conference on Smart and Sustainable Technologies (SpliTech).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b190ced365a93d63d12e25f93f481cd
https://doi.org/10.23919/splitech55088.2022.9854359
https://doi.org/10.23919/splitech55088.2022.9854359
Autor:
Stefano Fasciani
Publikováno v:
array. the journal of the ICMA. :69-78
Expressive sonic interaction with sound synthesizers requires the control of a continuous and high dimensional space. Further, the relationship between synthesis variables and timbre of the generated sound is typically complex or unknown to users. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::699ff3edacb25eae9a86ea9b41b626b7
https://doi.org/10.25370/array.v20152528
https://doi.org/10.25370/array.v20152528
Publikováno v:
Applied Sciences, Vol 11, Iss 4880, p 4880 (2021)
Applied Sciences
Volume 11
Issue 11
Applied Sciences
Volume 11
Issue 11
Recent methodologies for audio classification frequently involve cepstral and spectral features, applied to single channel recordings of acoustic scenes and events. Further, the concept of transfer learning has been widely used over the years, and ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9fa13794ff49fbfe3ebb6a60c72adba
https://www.mdpi.com/2076-3417/11/11/4880
https://www.mdpi.com/2076-3417/11/11/4880
Autor:
Jackson Goode, Stefano Fasciani
This paper provides figures and metrics over twenty years of New Interfaces for Musical Expression conferences, which are derived by analyzing the publicly available paper proceedings. Besides presenting statistical information and a bibliometric stu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0438a933ca9db95d128b1f8d6820803
http://hdl.handle.net/10852/86442
http://hdl.handle.net/10852/86442
Publikováno v:
ISSPIT
In this work, the best approximation of the sound source location through neural networks is examined. Majority of related work either omits the phase information from the Short Time Fourier Transform (STFT), or uses it for the sole purpose of restor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71d0c0cc5939c46077a87759d167082
https://doi.org/10.1109/isspit51521.2020.9408643
https://doi.org/10.1109/isspit51521.2020.9408643
Publikováno v:
2020 3rd International Conference on Signal Processing and Information Security (ICSPIS).
Dementia is an ailment heavily associated with cognitive decline and old age. Due to its progressive nature, several changes in sensory perceptions may be experienced by the individual. Thus, consistent monitoring of patients' assistance requirement,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84f181ef0b601b51fb904e8ababd6c87
https://doi.org/10.1109/icspis51252.2020.9340131
https://doi.org/10.1109/icspis51252.2020.9340131
Autor:
Lonce Wyse, Stefano Fasciani
Publikováno v:
Computer Music Journal. 42:37-59
In this article we describe a user-driven adaptive method to control the sonic response of digital musical instruments using information extracted from the timbre of the human voice. The mapping between heterogeneous attributes of the input and outpu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b5516a21f5483103481b941b8b76677
https://doi.org/10.1162/comj_a_00450
https://doi.org/10.1162/comj_a_00450
Publikováno v:
ISSPIT
Current methodologies explored for audio classification, particularly multi-channel audio, commonly involve the use of individual deep learning approaches. In this paper, we look at domestic multi-channel audio classification through a comparison of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d474d2c117b4559f2635b25ef2f5efa
https://doi.org/10.1109/isspit47144.2019.9001814
https://doi.org/10.1109/isspit47144.2019.9001814