Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Alfred Dielmann"'
Autor:
Steve Renals, Alfred Dielmann
Publikováno v:
IEEE Transactions on Multimedia. 9:25-36
Multiparty meetings are a ubiquitous feature of organizations, and there are considerable economic benefits that would arise from their automatic analysis and structuring. In this paper, we are concerned with the segmentation and structuring of meeti
Autor:
Philip Kelly, Alfred Dielmann, Georgios A. Kordelas, Robin Tournemenne, Slim Essid, Marc Gowing, Thomas Fillon, Gael Richard, Xinyu Lin, Petros Daras, Anil Aksay, Aymeric Masurelle, Noel E. O'Connor, Vlado Kitanovski, Qianni Zhang, Ebroul Izquierdo
Publikováno v:
Journal on Multimodal User Interfaces
Journal on Multimodal User Interfaces, Springer, 2012, pp.1-14. ⟨10.1007/s12193-012-0109-5⟩
Journal on Multimodal User Interfaces, Springer, 2012, pp.1-14. ⟨10.1007/s12193-012-0109-5⟩
We present a new, freely available, multimodal corpus for research into, amongst other areas, real-time realistic interaction between humans in online virtual environments. The specific corpus scenario focuses on an online dance class application sce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6bb5ed2252f818f41b8dd69897cc60f
https://hal.telecom-paris.fr/hal-02286487
https://hal.telecom-paris.fr/hal-02286487
Autor:
Alfred Dielmann
Publikováno v:
MMSP
Edited video recordings, such as talk-shows and sitcoms, often include Audio-Visual clusters: frequent repetitions of closely related acoustic and visual content. For example during a political debate, every time that a given participant holds the co
Publikováno v:
INTERSPEECH
The role of audio–visual speech synchrony for speaker diarisation is investigated on the multiparty meeting domain. We measured both mutual information and canonical correlation on different sets of audio and video features. As acoustic features we
Publikováno v:
ACM Multimedia
The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem, namely the recognition of roles in social exchanges. The proposed appr
Autor:
Steve Renals, Alfred Dielmann
Publikováno v:
Dielmann, A & Renals, S 2008, ' Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN ', IEEE Transactions on Audio, Speech and Language Processing, vol. 16, no. 7, pp. 1303-1314 . https://doi.org/10.1109/TASL.2008.922463
This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition in which segmentation and classification of DAs are carried out in parallel. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55ea990bfdbc790eb302fe2cb8c36ef7
http://hdl.handle.net/1842/3823
http://hdl.handle.net/1842/3823
Autor:
Steve Renais, Alfred Dielmann
Publikováno v:
ICASSP (4)
Dielmann, A & Renals, S 2007, DBN Based Joint Dialogue Act Recognition of Multiparty Meetings . in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP '07 . vol. 4, Institute of Electrical and Electronics Engineers (IEEE), pp. 133-136, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, United States, 15/04/07 . https://doi.org/10.1109/ICASSP.2007.367181
Dielmann, A & Renals, S 2007, DBN Based Joint Dialogue Act Recognition of Multiparty Meetings . in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing-ICASSP '07 . vol. 4, Institute of Electrical and Electronics Engineers (IEEE), pp. 133-136, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, United States, 15/04/07 . https://doi.org/10.1109/ICASSP.2007.367181
Joint Dialogue Act segmentation and classification of the new AMI meeting corpus has been performed through an integrated framework based on a switching dynamic Bayesian network and a set of continuous features and language models. The recognition pr
Autor:
Gerhard Rigoll, Marc Al-Hames, Stephan Reiter, Dong Zhang, Alfred Dielmann, Steve Renals, Daniel Gatica-Perez
Publikováno v:
Machine Learning for Multimodal Interaction ISBN: 9783540325499
MLMI
MLMI
We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, and can be used either as input for a meeting browser or as a first st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b2a713d958502294606cb68827be97d
https://doi.org/10.1007/11677482_5
https://doi.org/10.1007/11677482_5
Autor:
Steve Renals, Alfred Dielmann
Publikováno v:
Machine Learning for Multimodal Interaction ISBN: 9783540692676
MLMI
Dielmann, A & Renals, S 2006, Multistream Recognition of Dialogue Acts in Meetings . in S Renals, S Bengio & J G Fiscus (eds), Machine Learning for Multimodal Interaction : Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers . Lecture Notes in Computer Science, vol. 4299, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 178-189, Third International Workshop MLMI 2006, Bethesda, MD, United States, 1/05/06 . https://doi.org/10.1007/11965152_16
MLMI
Dielmann, A & Renals, S 2006, Multistream Recognition of Dialogue Acts in Meetings . in S Renals, S Bengio & J G Fiscus (eds), Machine Learning for Multimodal Interaction : Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers . Lecture Notes in Computer Science, vol. 4299, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 178-189, Third International Workshop MLMI 2006, Bethesda, MD, United States, 1/05/06 . https://doi.org/10.1007/11965152_16
We propose a joint segmentation and classification approach for the dialogue act recognition task on natural multi-party meetings (ICSI Meeting Corpus). Five broad DA categories are automatically recognised using a generative Dynamic Bayesian Network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::21aaf0e8e963844c7717709880a0a60a
https://doi.org/10.1007/11965152_16
https://doi.org/10.1007/11965152_16
Autor:
Steve Renals, Alfred Dielmann
Publikováno v:
Machine Learning for Multimodal Interaction ISBN: 9783540245094
MLMI
Dielmann, A & Renals, S 2005, Multistream Dynamic Bayesian Network for Meeting Segmentation . in S Bengio & H Bourlard (eds), Machine Learning for Multimodal Interaction : First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers . Lecture Notes in Computer Science, vol. 3361, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 76-86, First International Workshop MLMI 2004, Martigny, Switzerland, 21/06/04 . https://doi.org/10.1007/978-3-540-30568-2_7
MLMI
Dielmann, A & Renals, S 2005, Multistream Dynamic Bayesian Network for Meeting Segmentation . in S Bengio & H Bourlard (eds), Machine Learning for Multimodal Interaction : First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers . Lecture Notes in Computer Science, vol. 3361, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 76-86, First International Workshop MLMI 2004, Martigny, Switzerland, 21/06/04 . https://doi.org/10.1007/978-3-540-30568-2_7
Consonant duration is influenced by a number of linguistic factors such as the consonant s identity, within-word position, stress level of the previous and following vowels, phrasal position of the word containing the target consonant, its syllabic p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b9219973bdb3a4f03a80ea430b39672
https://doi.org/10.1007/978-3-540-30568-2_7
https://doi.org/10.1007/978-3-540-30568-2_7