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pro vyhledávání: '"Catellier, Andrew"'
Autor:
Catellier, Andrew, Voran, Stephen
Wideband Audio Waveform Evaluation Networks (WAWEnets) are convolutional neural networks that operate directly on wideband audio waveforms in order to produce evaluations of those waveforms. In the present work these evaluations give qualities of tel
Externí odkaz:
http://arxiv.org/abs/2206.13272
We describe a new convolutional framework for waveform evaluation, WEnets, and build a Narrowband Audio Waveform Evaluation Network, or NAWEnet, using this framework. NAWEnet is single-ended (or no-reference) and was trained three separate times in o
Externí odkaz:
http://arxiv.org/abs/1909.09024
Akademický článek
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Autor:
Voran Stephen, Catellier Andrew
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2011, Iss 1, p 472185 (2011)
Subjective testing is the most direct means of assessing multimedia quality as experienced by users. When multiple dimensions must be evaluated, these tests can become slow and costly. We present gradient ascent subjective testing (GAST) as an effici
Externí odkaz:
https://doaj.org/article/af50e6c7bf4346bfbe3a092af6d975e0
Autor:
Catellier, Andrew, Pinson, Margaret
Publikováno v:
2015 IEEE International Symposium on Multimedia (ISM); 2015, p282-288, 7p
Publikováno v:
2013 IEEE International Conference on Acoustics, Speech & Signal Processing; 2013, p8149-8153, 5p
Publikováno v:
2012 Fourth International Workshop on Quality of Multimedia Experience; 1/ 1/2012, p39-44, 6p
Autor:
Philips GR; University of Wyoming, Laramie, Wyoming, USA., Catellier AA, Barrett SF, Wright CH
Publikováno v:
Biomedical sciences instrumentation [Biomed Sci Instrum] 2007; Vol. 43, pp. 164-9.