Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Jon Barker"'
Autor:
Scott Bannister, Alinka E. Greasley, Trevor J. Cox, Michael A. Akeroyd, Jon Barker, Bruno Fazenda, Jennifer Firth, Simone N. Graetzer, Gerardo Roa Dabike, Rebecca R. Vos, William M. Whitmer
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
IntroductionPrevious work on audio quality evaluation has demonstrated a developing convergence of the key perceptual attributes underlying judgments of quality, such as timbral, spatial and technical attributes. However, across existing research the
Externí odkaz:
https://doaj.org/article/2d30fa26d0684789aba317db7b030d6a
Autor:
Simone Graetzer, Michael A. Akeroyd, Jon Barker, Trevor J. Cox, John F. Culling, Graham Naylor, Eszter Porter, Rhoddy Viveros-Muñoz
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107951- (2022)
This paper presents the Clarity Speech Corpus, a publicly available, forty speaker British English speech dataset. The corpus was created for the purpose of running listening tests to gauge speech intelligibility and quality in the Clarity Project, w
Externí odkaz:
https://doaj.org/article/36bbd811a1fa49d99b3fe8e835f04169
Autor:
Trevor Cox, Michael Akeroyd, Jon Barker, John Culling, Jennifer Firth, Simone Graetzer, Holly Griffiths, Lara Harris, Rhoddy Viveros Munoz, Graham Naylor, Zuzanna Podwinska, Eszter Porter
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 265:4599-4606
Objective speech intelligibility metrics are used to reduce the need for time consuming listening tests. They are used in the design of audio systems; room acoustics and signal processing algorithms. Most published speech intelligibility metrics have
Autor:
Maria Niculescu-Duvaz, M J Barlow, William Dunn, Antonia Bevan, Omar Ahmed, David Arkless, Jon Barker, Sidney Bartolotta, Liam Brockway, Daniel Browne, Ubaid Esmail, Max Garner, Wiktoria Guz, Scarlett King, Hayri Kose, Madeline Lampstaes-Capes, Joseph Magen, Nicole Morrison, Kyaw Oo, Balvinder Paik, Joanne Primrose, Danny Quick, Anais Radeka, Anthony Rodney, Eleanor Sandeman, Fawad Sheikh, Camron Stansfield, Delayne Symister, Joshua Taylor, William Wilshere, R Wesson, I De Looze, G C Clayton, K Krafton, M Matsuura
Publikováno v:
Monthly Notices of the Royal Astronomical Society. 519:2940-2950
Core-collapse supernovae (CCSNe) are potentially capable of producing large quantities of dust, with strong evidence that ejecta dust masses can grow significantly over extended periods of time. Red-blue asymmetries in the broad emission lines of CCS
Autor:
Michael A. Akeroyd, Will Bailey, Jon Barker, Trevor J. Cox, John F. Culling, Simone Graetzer, Graham Naylor, Zuzanna Podwińska, Zehai Tu
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Jon Barker, Michael Akeroyd, Trevor J. Cox, John F. Culling, Jennifer Firth, Simone Graetzer, Holly Griffiths, Lara Harris, Graham Naylor, Zuzanna Podwinska, Eszter Porter, Rhoddy Viveros Munoz
Publikováno v:
Interspeech 2022.
Publikováno v:
Interspeech 2022.
An accurate objective speech intelligibility prediction algorithms is of great interest for many applications such as speech enhancement for hearing aids. Most algorithms measures the signal-to-noise ratios or correlations between the acoustic featur
Publikováno v:
Interspeech 2022.
Non-intrusive intelligibility prediction is important for its application in realistic scenarios, where a clean reference signal is difficult to access. The construction of many non-intrusive predictors require either ground truth intelligibility lab
Publikováno v:
Interspeech 2022
Raw waveform acoustic modelling has recently received increasing attention. Compared with the task-blind hand-crafted features which may discard useful information, representations directly learned from the raw waveform are task-specific and potentia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fa5b6e371e36aaa6ec32fd56d349f67
Autor:
Jack Deadman, Jon Barker
Publikováno v:
Interspeech 2022.