Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Audio search"'
Publikováno v:
Applied Sciences, Vol 11, Iss 14, p 6461 (2021)
Brightness is one of the most common timbral descriptors used for searching audio databases, and is also the timbral attribute of recorded sound that is most affected by microphone choice, making a brightness prediction model desirable for automatic
Externí odkaz:
https://doaj.org/article/7ef096d062d840e38e5de1bab8ac1bd3
Autor:
Laribi, Raoul, Harscher, Philipp, Knapp, Jonas, Birke, Kai Peter, Sauer, Alexander, Herberger, David, Hübner, Marco, Stich, Volker
Publikováno v:
Proceedings of the Conference on Production Systems and Logistics: CPSL 2023-1
Industrial manufacturing plants, including machine tools, robots, and elevators, perform dynamic acceleration and braking processes. Recuperative braking results in an increased voltage in the machines' direct current (DC) links. In the case of a dio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7914ce94ada402858efdadf084390ba2
Autor:
Six, Joren
Publikováno v:
Journal of Open Source Software
Olaf stands for Overly Lightweight Acoustic Fingerprinting and solves the problem of finding short audio fragments in large digital audio archives. The content-based audio search algorithm implemented in Olaf can identify a short audio query in a lar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______330::bab2d890d6e79c63177d976bcfcf5079
https://hdl.handle.net/1854/LU-01H54YQ2WNG5BS3CY3GFBWXT68
https://hdl.handle.net/1854/LU-01H54YQ2WNG5BS3CY3GFBWXT68
Akademický článek
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Publikováno v:
Applied Sciences
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6461, p 6461 (2021)
Volume 11
Issue 14
Applied Sciences, Vol 11, Iss 6461, p 6461 (2021)
Brightness is one of the most common timbral descriptors used for searching audio databases, and is also the timbral attribute of recorded sound that is most affected by microphone choice, making a brightness prediction model desirable for automatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa57e83db09b8ba23387a94fa959a5d5
https://doi.org/10.3390/app11146461
https://doi.org/10.3390/app11146461
Publikováno v:
ICASSP
Existing audio search engines use one of two approaches: matching text-text or audio-audio pairs. In the former, text queries are matched to semantically similar words in an index of audio metadata to retrieve corresponding audio clips or segments, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55828534de6562c8a2ef505c87ea12ad
https://doi.org/10.1109/icassp.2019.8682632
https://doi.org/10.1109/icassp.2019.8682632
Akademický článek
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Publikováno v:
Audio Mostly Conference
Sound designers select the sounds they use among massive collections of recordings. They usually rely on text-based queries to narrow down a subset from these collections when looking for specific content. However, when it comes to unknown collection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79bf4c07be4752a8fde62226f3c15144
https://doi.org/10.1145/2986416.2986436
https://doi.org/10.1145/2986416.2986436
Akademický článek
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Autor:
Michael A. Casey
Publikováno v:
Contemporary Music Review. 24:489-508
In this article, a method is proposed for automatic fine-scale audio description that draws inspiration from ontological sound description methods such as Shaeffer's Objets Sonores and Smalley's Spectromorphology. The goal is complete automation of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34101c068d0cec99b3787d59817712d7
https://doi.org/10.1080/07494460500296169
https://doi.org/10.1080/07494460500296169