Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Fotios Talantzis"'
Publikováno v:
Audio-Visual Person Tracking. :i-xxiii
Publikováno v:
Audio-Visual Person Tracking. :197-209
Autor:
Fotios Talantzis
Publikováno v:
IEEE Transactions on Audio, Speech, and Language Processing. 18:1806-1817
The problem of detecting the location of an active acoustic source in an enclosure remains subject to a series of difficulties. Algorithms operate repeatedly on small frames of data from microphone recordings and provide estimates of the current sour
Autor:
John Soldatos, Theodore Petsatodis, Fotios Talantzis, Vasiliki Theodoreli, Aristodemos Pnevmatikakis
Publikováno v:
International Journal of Ambient Computing and Intelligence
The emerging surface computing trend is a key enabler for a wide range of ergonomic interfaces and applications. Surface computing interfaces are considered appropriate toward facilitating elderly interaction with ICT devices and services. In this pa
Autor:
Vasileios Mylonakis, Rainer Stiefelhagen, Cedrick Rochet, Luca Cristoforetti, Gerasimos Potamianos, Ambrish Tyagi, Susanne Burger, Nicolas Moreau, Stephen M. Chu, Fotios Talantzis, Francesco Tobia, Keni Bernardin, Khalid Choukri, Jordi Turmo, Josep R. Casas, Aristodemos Pnevmatikakis, Djamel Mostefa
Publikováno v:
Language Resources and Evaluation. 41:389-407
The analysis of lectures and meetings inside smart rooms has recently attracted much interest in the literature, being the focus of international projects and technology evaluations. A key enabler for progress in this area is the availability of appr
Publikováno v:
Personal and Ubiquitous Computing. 13:3-14
Identifying people and tracking their locations is a key prerequisite to achieving context awareness in smart spaces. Moreover, in realistic context-aware applications, these tasks have to be carried out in a non-obtrusive fashion. In this paper we p
Autor:
D.B. Ward, Fotios Talantzis
Publikováno v:
The Journal of the Acoustical Society of America. 114:833-841
A theoretical framework is established, for the robustness of multichannel sound equalization in reverberant environments. Using results from statistical room acoustics, a closed-form expression is derived that predicts the degradation in performance
Publikováno v:
Petsatodis, T, Boukis, C, Talantzis, F & Polymenakos, L 2013, Cascaded dynamic noise reduction utilizing VAD to improve residual suppression . in 2013 18th International Conference on Digital Signal Processing, DSP 2013 ., 6622696, IEEE Press, International Conference on Digital Signal Processing proceedings, pp. 1-6, International conference on Digital Signal Processing, Fira, Greece, 01/07/2013 . https://doi.org/10.1109/ICDSP.2013.6622696
DSP
DSP
Speech processing systems often operate in noisy and reverberant environments. Their operation is subject to the accuracy of the underlying noise reduction algorithm, that aims to reduce noise present in the signals that are captured by the employed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb39571316d10c444b108efb6c382dc0
https://vbn.aau.dk/da/publications/0597eb9c-af9c-4b5a-87ec-f9e811342bb6
https://vbn.aau.dk/da/publications/0597eb9c-af9c-4b5a-87ec-f9e811342bb6
Publikováno v:
Petsatodis, T, Talantzis, F, Boukis, C, Tan, Z-H & Prasad, R 2013, ' Exploring super-gaussianity towards robust information-theoretical time delay estimation ', The Journal of the Acoustical Society of America, vol. 133, no. 3, pp. 1515-1524 . https://doi.org/10.1121/1.4776193
Time delay estimation (TDE) is a fundamental component of speaker localization and tracking algorithms. Most of the existing systems are based on the generalized cross-correlation method assuming gaussianity of the source. It has been shown that the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38e53036f2ef15c9221aa80b8789e496
https://vbn.aau.dk/da/publications/a1f57bb5-1a37-4095-9b35-32d194f6fc3c
https://vbn.aau.dk/da/publications/a1f57bb5-1a37-4095-9b35-32d194f6fc3c
Publikováno v:
2013 Constantinides International Workshop on Signal Processing (CIWSP 2013).
Voice Activity Detection (VAD) remains a challenging task given its dependence on adverse noise and reverberation conditions. The problem becomes even more difficult when the microphones used to detect speech reside far from the speaker. In this pape