Localization of acoustic sources in reverberant environments by microphone arrays remains a challenging task in audio signal processing. As a matter of fact, most assumptions of commonly adopted models are not met in real applications. Moreover, in practical systems it is not convenient or possible to employ sophisticated and costly architectures, that require precise synchronization and fast data shuffling among sensors. In this paper, a new robust multi-step procedure for speaker localization in reverberant rooms is introduced and described. The new approach is based on a disturbed harmonics model of time delays in the frequency domain and employs the well-known ROOT-MUSIC algorithm, after a preliminary distributed processing of the received signals. Candidate source positions are then estimated by clustering of raw TDOA estimates. Main features of the proposed approach, compared to previous solutions, are the capability of tracking multiple speakers and the high accuracy of the closed form TDOA estimator.

Multi-Source Localization In Reverberant Environments By Root-Music And Clustering / Di Claudio, Elio; Parisi, Raffaele; Orlandi, Gianni. - STAMPA. - II:(2000), pp. 921-924. (Intervento presentato al convegno ICASSP 2000 tenutosi a Instanbul) [10.1109/ICASSP.2000.859111].

Multi-Source Localization In Reverberant Environments By Root-Music And Clustering

DI CLAUDIO, Elio;PARISI, Raffaele;ORLANDI, Gianni
2000

Abstract

Localization of acoustic sources in reverberant environments by microphone arrays remains a challenging task in audio signal processing. As a matter of fact, most assumptions of commonly adopted models are not met in real applications. Moreover, in practical systems it is not convenient or possible to employ sophisticated and costly architectures, that require precise synchronization and fast data shuffling among sensors. In this paper, a new robust multi-step procedure for speaker localization in reverberant rooms is introduced and described. The new approach is based on a disturbed harmonics model of time delays in the frequency domain and employs the well-known ROOT-MUSIC algorithm, after a preliminary distributed processing of the received signals. Candidate source positions are then estimated by clustering of raw TDOA estimates. Main features of the proposed approach, compared to previous solutions, are the capability of tracking multiple speakers and the high accuracy of the closed form TDOA estimator.
2000
ICASSP 2000
Algorithms; Eigenvalues and eigenfunctions; Frequency domain analysis; Harmonic analysis; Microphones; Parameter estimation; Reverberation; Signal filtering and prediction; Signal to noise ratio; Spectrum analysis; Speech coding; Transfer functions; Generalized cross correlation method; Linear predictive coding; Multi source localization; ROOT-MUSIC algorithm; Time delay of arrival
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Multi-Source Localization In Reverberant Environments By Root-Music And Clustering / Di Claudio, Elio; Parisi, Raffaele; Orlandi, Gianni. - STAMPA. - II:(2000), pp. 921-924. (Intervento presentato al convegno ICASSP 2000 tenutosi a Instanbul) [10.1109/ICASSP.2000.859111].
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/251106
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 30
  • ???jsp.display-item.citation.isi??? 12
social impact