Zobrazeno 1 - 10
of 1 246
pro vyhledávání: '"A. Ollerenshaw"'
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100610- (2024)
Online Farm Trials (OFT) is a bespoke online information system providing current and historical grains trials research data and information in Australia. It represents a technology that supports smart agriculture by enabling discoveries in the data.
Externí odkaz:
https://doaj.org/article/f620026df5804383a81108baf26043d1
Autor:
Amanda Worker, Hadley Mahon, Jack Sams, Freya Boardman-Pretty, Elena Marchini, Rand Dubis, Alan Warren, Jez Stockdale, Jyothika Kumar, Elizabeth Varones, Daniel Ollerenshaw, Calum Grant, Peter Fish, Richard J. Kelly
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-11 (2024)
Abstract Background Paroxysmal Nocturnal Haemoglobinuria (PNH) is an ultra-rare, acquired disorder that is challenging to diagnose due to varied symptoms, heterogeneous patient presentations, and lack of awareness among healthcare professionals. This
Externí odkaz:
https://doaj.org/article/e788d01ac5f04052a0b45d8c9f5b7321
Empirical Interpretation of the Relationship Between Speech Acoustic Context and Emotion Recognition
Speech emotion recognition (SER) is vital for obtaining emotional intelligence and understanding the contextual meaning of speech. Variations of consonant-vowel (CV) phonemic boundaries can enrich acoustic context with linguistic cues, which impacts
Externí odkaz:
http://arxiv.org/abs/2306.17500
Knowledge distillation has widely been used for model compression and domain adaptation for speech applications. In the presence of multiple teachers, knowledge can easily be transferred to the student by averaging the models output. However, previou
Externí odkaz:
http://arxiv.org/abs/2303.00550
State-of-the-art speaker verification frameworks have typically focused on developing models with increasingly deeper (more layers) and wider (number of channels) models to improve their verification performance. Instead, this paper proposes an appro
Externí odkaz:
http://arxiv.org/abs/2211.02000
End-to-End automatic speech recognition (ASR) models aim to learn a generalised speech representation to perform recognition. In this domain there is little research to analyse internal representation dependencies and their relationship to modelling
Externí odkaz:
http://arxiv.org/abs/2211.01993
Publikováno v:
Proc. Interspeech 2021, 4079-4083
End-to-end automatic speech recognition (ASR) models aim to learn a generalised speech representation. However, there are limited tools available to understand the internal functions and the effect of hierarchical dependencies within the model archit
Externí odkaz:
http://arxiv.org/abs/2205.09456
Publikováno v:
In Smart Agricultural Technology December 2024 9
Autor:
Kopczynska, Maja, Harrison, Simon, Farrer, Kirstine, Leahy, Gavin, Ollerenshaw-Ward, Charlotte, Lal, Simon
Publikováno v:
In Clinical Nutrition ESPEN December 2024 64:66-72
Autor:
Piet, Alex, Ponvert, Nick, Ollerenshaw, Douglas, Garrett, Marina, Groblewski, Peter A., Olsen, Shawn, Koch, Christof, Arkhipov, Anton
Publikováno v:
In Neuron 5 June 2024 112(11):1876-1890