Paper Info
Title
The Athena-Rc System For Speech Activity Detection And Speaker Localization In The Dirha Smart Home
Abstract
We present our system for speech activity detection and speaker localization inside a smart home with multiple rooms equipped with microphone arrays of known geometry and placement. The smart home is developed as part of the DIRHA European funded project, providing both simulated and real data for system development and evaluation, under extremely challenging conditions of noise, reverberation, and speech overlap. Our proposed approach performs speech activity detection first, by employing multi-microphone decision fusion on traditional statistical models and acoustic features, within a Viterbi decoding framework, further assisted by signal energy-and model log-likelihood threshold-based heuristics. Then it performs speaker localization using traditional time-difference of arrival estimation between properly selected microphone pairs, further assisted by a dereverberation component. The system achieves very low detection errors, namely less than 4% (5%) for speech activity detection in the simulated (real) DIRHA corpus, and less than 10% (12%) for joint speech detection and speaker localization.
Year
Venue
Keywords
2014
2014 4TH JOINT WORKSHOP ON HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS (HSCMA)
speech detection, speaker localization, smart homes, microphone arrays
Field
DocType
Citations 
Speech processing,Reverberation,Voice activity detection,Speech recognition,Viterbi decoder,Speaker recognition,Energy (signal processing),Engineering,Multilateration,Microphone
Conference
3
PageRank 
References 
Authors
0.43
15
6
Name
Order
Citations
PageRank
Panagiotis Giannoulis130.77
Antigoni Tsiami2134.02
Rodomagoulakis, I.3183.45
Athanasios Katsamanis430122.71
Gerasimos Potamianos51113113.80
Petros Maragos63733591.97