Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Roger K, Moore"'
Autor:
Guanyu Huang, Roger K. Moore
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Along with the development of speech and language technologies, the market for speech-enabled human-robot interactions (HRI) has grown in recent years. However, it is found that people feel their conversational interactions with such robots are far f
Externí odkaz:
https://doaj.org/article/b404d556eabb4c70a8c4b499914854a0
Autor:
Guanyu Huang, Roger K. Moore
Publikováno v:
Frontiers in Virtual Reality, Vol 3 (2022)
Externí odkaz:
https://doaj.org/article/c760e4b020444771953a58dbf9126fe6
Publikováno v:
BMJ Health & Care Informatics, Vol 26, Iss 1 (2019)
Objective To document the quality of web and smartphone apps used and recommended for stress, anxiety or depression by examining the manner in which they were developed.Design The study was conducted using a survey sent to developers of National Heal
Externí odkaz:
https://doaj.org/article/1c7d9086f1814c93a31a1dae20735f07
Autor:
Roger K. Moore, Mauro Nicolao
Publikováno v:
Frontiers in Robotics and AI, Vol 4 (2017)
The past few years have seen considerable progress in the deployment of voice-enabled personal assistants, first on smartphones (such as Apple’s Siri) and most recently as standalone devices in people’s homes (such as Amazon’s Alexa). Such ‘i
Externí odkaz:
https://doaj.org/article/ea93aadd28474b97bd0877e53fe1efa5
Publikováno v:
Frontiers in Robotics and AI, Vol 3 (2016)
Almost all animals exploit vocal signals for a range of ecologically-motivated purposes: detecting predators prey and marking territory, expressing emotions, establishing social relations and sharing information. Whether it is a bird raising an alarm
Externí odkaz:
https://doaj.org/article/158087e793404c2088614b4c3a17428a
Autor:
Roger K. Moore
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 13 (2016)
Notwithstanding the considerable amount of progress that has been made in recent years, the parallel fields of cognitive science and cognitive systems lack a unifying methodology for describing, understanding, simulating and implementing advanced cog
Externí odkaz:
https://doaj.org/article/a8dac0dd2d2b4735936ef779b03bd666
Autor:
G.L. Blankenship, Mari Ostendorf, Thomas M. Howard, Abeer Alwan, Debadeepta Dey, Carol Y. Espy-Wilson, Joyce Y. Chai, Ivana Kruijff-Korbayová, Cynthia Matuszek, David Traum, Roger K. Moore, Mary P. Harper, Nigel Ward, Robert St. Amant, Yoav Artzi, Tong Sun, Mohit Bansal, Heather Pon-Barry, Casey Kennington, Raymond J. Mooney, Hal Daumé, Dinesh Manocha, Stefanie Tellex, Ross Mead, Alexander I. Rudnicky, Matthew Marge, Matthias Scheutz, Zhou Yu
With robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::044c51d339513cbe60ef443ab0a567e9
https://eprints.whiterose.ac.uk/179240/7/1-s2.0-S0885230821000620-main.pdf
https://eprints.whiterose.ac.uk/179240/7/1-s2.0-S0885230821000620-main.pdf
Autor:
Roger K. Moore
Publikováno v:
Empirical Musicology Review, Vol 7, Iss 1-2, Pp 36-44 (2012)
This paper attempts to address three critical questions left unanswered by Cummins’ review: are rhythm and entrainment physical, perceptual or social phenomena, what are the underlying mechanisms, and what is their role in behaviour such as speech
Externí odkaz:
https://doaj.org/article/ded00416335947ad93469db5081928fa
Publikováno v:
Interspeech 2021.
Generative Adversarial Networks (GANs) are machine learning networks based around creating synthetic data. Voice Conversion (VC) is a subset of voice translation that involves translating the paralinguistic features of a source speaker to a target sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::614dfa1b7c655ccd6928ec2d1a33da90
https://doi.org/10.21437/interspeech.2021-1730
https://doi.org/10.21437/interspeech.2021-1730
Autor:
Dina Al-Hammadi, Roger K. Moore
Publikováno v:
2021 National Computing Colleges Conference (NCCC).
Automatic personality recognition using the Big Five dimensions (OCEAN: extraversion, agreeableness, conscientiousness, neuroticism and openness) is capturing the attention of researchers. Personality recognition is expected to have encouraging futur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab42481d369baeedfef9382b027a8465
https://doi.org/10.1109/nccc49330.2021.9428804
https://doi.org/10.1109/nccc49330.2021.9428804