Experiments on far-field multichannel speech processing in smart homes
In this paper, we examine three problems that rise in the modern, challenging area of far-field speech processing. The developed methods for each problem, namely (a) multichannel speech enhancement, (b) voice activity detection, and (c) speech recognition, are potentially applicable to a distant speech recognition system for voice-enabled smart home environments. The obtained results on real and simulated data, regarding the smart home speech applications, are quite promising due to the accomplished improvements made in the employed signal processing methods. © 2013 IEEE.
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Tsiami, A.; Rodomagoulakis, I.; Giannoulis, P.; Katsamanis, A.; Potamianos, G.; Maragos, P. (2014)In this paper we present a Greek speech database with real multi-modal data in a smart home two-room environment. In total, 20 speakers were recorded in 240 one-minute long sessions. The recordings include utterances of ...
Galatas, G.; Potamianos, G.; Makedon, F. (2012)In this paper we build on our recent work, where we successfully incorporated facial depth data of a speaker captured by the Microsoft Kinect device, as a third data stream in an audio-visual automatic speech recognizer. ...
Argyropoulos, V.; Papadopoulos, K.; Kouroupetroglou, G.; Xydas, G.; Katsoulis, P. (2007)This paper reports on the results from a series of psychoacoustic experiments in the field of the auditory representation of texts via synthetic speech which comprise similar acoustic patterns so called "paronyms". The ...