Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Simone Graetzer"'
Autor:
Gerardo Roa Dabike, Trevor J. Cox, Alex J. Miller, Bruno M. Fazenda, Simone Graetzer, Rebecca R. Vos, Michael A. Akeroyd, Jennifer Firth, William M. Whitmer, Scott Bannister, Alinka Greasley, Jon P. Barker
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111199- (2024)
This paper presents the Cadenza Woodwind Dataset. This publicly available data is synthesised audio for woodwind quartets including renderings of each instrument in isolation. The data was created to be used as training data within Cadenza's second o
Externí odkaz:
https://doaj.org/article/2e7a910c75b94d9b8d28c10c1978178d
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:
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:
J Voice
Summary Introduction Females face a significantly higher risk of presenting with voice problems than males. This discrepancy has been associated with a number of differences in respiratory behavior and the physiology of the laryngeal and endocrine sy
Autor:
Michael A. Akeroyd, Jennifer L. Firth, Graham Naylor, Jon P. Barker, John Culling, Trevor J. Cox, Will Bailey, Simone Graetzer, Rhoddy Viveros Muñoz, Eszter Porter, Holly Griffiths
Publikováno v:
The Journal of the Acoustical Society of America. 153:A48-A48
The clarity enhancement challenges (CECs) seek to facilitate development of novel processing techniques for improving the intelligibility of speech in noise for hearing-aid users through a series of signal-processing challenges. Each challenge provid
Autor:
Jennifer L. Firth, Trevor J. Cox, Alinka Greasley, Jon P. Barker, William M. Whitmer, Bruno Fazenda, Scott Bannister, Simone Graetzer, Rebecca Vos, Gerardo Roa, Michael A. Akeroyd
Publikováno v:
The Journal of the Acoustical Society of America. 153:A332-A332
Interior car noise refers to the general noise generated by the engine transmission, the interaction between road and types, and weather conditions such as turbulent wind. For drivers or passengers with hearing loss, these can create especially chall
Autor:
Graham Naylor, Eszter Porter, Michael A. Akeroyd, Jon Barker, Trevor J. Cox, John F. Culling, Rhoddy Viveros Muñoz, Simone Graetzer
In recent years, rapid advances in speech technology have been made possible by machine learning challenges such as CHiME, REVERB, Blizzard, and Hurricane. In the Clarity project, the machine learning approach is applied to the problem of hearing aid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a188faa6efeb229a66ccfced647271e8
Autor:
Simone Graetzer, Carl Hopkins
Publikováno v:
The Journal of the Acoustical Society of America. 149(2)
The effect of additive white Gaussian noise and high-pass filtering on speech intelligibility at signal-to-noise ratios (SNRs) from −26 to 0 dB was evaluated using British English talkers and normal hearing listeners. SNRs below −10 dB were consi