Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Olympia Simantiraki"'
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Listeners are routinely exposed to many different types of speech, including artificially-enhanced and synthetic speech, styles which deviate to a greater or lesser extent from naturally-spoken exemplars. While the impact of differing speech types on
Externí odkaz:
https://doaj.org/article/53110aaf9f0c4bc391f5005c91a405cf
Autor:
Olympia Simantiraki, Martin Cooke
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8734 (2023)
Modifying the spectrum of recorded or synthetic speech is an effective strategy for boosting intelligibility in noise without increasing the speech level. However, the wider impact of changes to the spectral energy distribution of speech is poorly un
Externí odkaz:
https://doaj.org/article/8e0f9a74166a416d977078c0c83075e6
Autor:
Alexandros Roniotis, Giorgos Giannakakis, Dimitris Grigoriadis, Manolis Tsiknakis, Katerina Giannakaki, Olympia Simantiraki
Publikováno v:
IEEE Transactions on Affective Computing. 13:440-460
This review investigates the effects of psychological stress on the human body measured through biosignals. When a potentially threatening stimulus is perceived, a cascade of physiological processes occurs mobilizing the body and nervous system to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b70b0130c0141285fb871a01645da3d
https://doi.org/10.1109/taffc.2019.2927337
https://doi.org/10.1109/taffc.2019.2927337
Autor:
Martin Cooke, Olympia Simantiraki
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a13e56ec0f09e8b084f9ae365c4af26
https://doi.org/10.21437/interspeech.2021-324
https://doi.org/10.21437/interspeech.2021-324
Publikováno v:
ICASSP
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
High intelligibility can be achieved when listening to synthetic or artificially-produced speech under adverse conditions. But can listener preferences reveal any extra information when intelligibility is at ceiling? This paper describes a real-time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a37774927e2aa1bdc1df71d631b6dce
https://doi.org/10.1109/icassp40776.2020.9054117
https://doi.org/10.1109/icassp40776.2020.9054117
Autor:
Olympia Simantiraki, Martin Cooke
Publikováno v:
Interspeech 2020
INTERSPEECH
INTERSPEECH
Fast speech may reduce intelligibility, but there is little agree-ment as to whether listeners benefit from slower speech in noisyconditions. The current study explored the relationship betweenspeech rate and masker properties using a listening prefe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34b0763d49ea63069a56e7d95a74895d
Publikováno v:
Interspeech 2018
INTERSPEECH
INTERSPEECH
Listeners are exposed to different types of speech in everyday life, from natural speech to speech that has undergone modifications or has been generated synthetically. While many studies have focused on measuring the intelligibility of these distinc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d84ad0d6f803ca73371b32cf2f1e76db
https://zenodo.org/record/3514931
https://zenodo.org/record/3514931
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783319749341
Automatic detection of emotional stress is an active research domain, which has recently drawn increasing attention, mainly in the fields of computer science, linguistics, and medicine. In this study, stress is automatically detected by employing spe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::956429c2f858125300362ecffcb3b4d0
https://doi.org/10.1007/978-3-319-74935-8_5
https://doi.org/10.1007/978-3-319-74935-8_5
Autor:
Paulos Charonyktakis, Martin Cooke, Olympia Simantiraki, Anastasia Pampouchidou, Manolis Tsiknakis
Publikováno v:
INTERSPEECH
Interspeech 2017
Interspeech 2017
Depression is one of the most prominent mental disorders, with an increasing rate that makes it the fourth cause of disability worldwide. The field of automated depression assessment has emerged to aid clinicians in the form of a decision support sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11a4fafd39a14bed853c37598b4f80fb
https://doi.org/10.21437/interspeech.2017-1251
https://doi.org/10.21437/interspeech.2017-1251
Autor:
Anastasia Pampouchidou, Georgios Giannakakis, Alexandros Roniotis, Olympia Simantiraki, Matthew Pediaditis, Fabrice Meriaudeau, Fan Yang, Amir Fazlollahi, Dimitris Manousos, Kostas Marias, Panagiotis G. Simos, Manolis Tsiknakis
Publikováno v:
PROCEEDINGS OF THE 6TH INTERNATIONAL WORKSHOP ON AUDIO/VISUAL EMOTION CHALLENGE (AVEC'16)
6th International Workshop on Audio-Visual Emotion Recognition Challenge-Depression, Mood, and Emotion (AVEC)
ACM. 6th International Workshop on Audio-Visual Emotion Recognition Challenge-Depression, Mood, and Emotion (AVEC), Oct 2016, Amsterdam, Netherlands. ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, PROCEEDINGS OF THE 6TH INTERNATIONAL WORKSHOP ON AUDIO/VISUAL EMOTION CHALLENGE (AVEC'16), pp.27-34, 2016, 〈http://dl.acm.org/citation.cfm?doid=2988257.2988266〉. 〈10.1145/2988257.2988266〉
AVEC@ACM Multimedia
6th International Workshop on Audio-Visual Emotion Recognition Challenge-Depression, Mood, and Emotion (AVEC), Oct 2016, Amsterdam, Netherlands. pp.27-34, ⟨10.1145/2988257.2988266⟩
6th International Workshop on Audio-Visual Emotion Recognition Challenge-Depression, Mood, and Emotion (AVEC)
ACM. 6th International Workshop on Audio-Visual Emotion Recognition Challenge-Depression, Mood, and Emotion (AVEC), Oct 2016, Amsterdam, Netherlands. ASSOC COMPUTING MACHINERY, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA, PROCEEDINGS OF THE 6TH INTERNATIONAL WORKSHOP ON AUDIO/VISUAL EMOTION CHALLENGE (AVEC'16), pp.27-34, 2016, 〈http://dl.acm.org/citation.cfm?doid=2988257.2988266〉. 〈10.1145/2988257.2988266〉
AVEC@ACM Multimedia
6th International Workshop on Audio-Visual Emotion Recognition Challenge-Depression, Mood, and Emotion (AVEC), Oct 2016, Amsterdam, Netherlands. pp.27-34, ⟨10.1145/2988257.2988266⟩
International audience; Depression is a major cause of disability world-wide. The present paper reports on the results of our participation to the depression sub-challenge of the sixth Audio/Visual Emotion Challenge (AVEC 2016), which was designed to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc9acbfa8c8f9b5b91dd9cfcbffc3be6
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01464064
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01464064