Robust DOA estimation of speech signals via sparsity models using microphone arrays
Contributo in Atti di convegno
Data di Pubblicazione:
2013
Citazione:
Robust DOA estimation of speech signals via sparsity models using microphone arrays / E. Cagli, D. Carrera, G. Aletti, G. Naldi, B. Rossi - In: 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2013)[s.l] : IEEE, Piscataway, NJ, USA, 2013. - ISBN 978-1-4799-0972-8. (( convegno 2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2013) tenutosi a New Paltz, NY, USA nel 2013 [10.1109/WASPAA.2013.6701823].
Abstract:
Direction-of-arrival (DOA) estimation of speech signals using a set of spatially separated microphones in an array is a problem arising in many practical applications. Examples include human computer interfaces, automatic camera-steering systems for multipartecipant videoconferencing, and tracking systems in smart home environments. This paper introduces a robust method for speech signals localization which makes use of sparsity models for signal representation, and includes an analysis of the denoising problem for realistic applications using MEMS microphone arrays. Experimental results on both synthetic and real speech data show that the proposed method is noise-robust and provides high reliable localization performances even in case of multiple sources and small number of microphones.
Tipologia IRIS:
03 - Contributo in volume
Keywords:
Direction-of-arrival (DOA) estimation; microphone arrays; sparse representation; speech signals
Elenco autori:
E. Cagli, D. Carrera, G. Aletti, G. Naldi, B. Rossi
Link alla scheda completa:
Titolo del libro:
2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2013)