Fast Joint DOA and Pitch Estimation Using a Broadband MVDR Beamformer

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

10 Citationer (Scopus)
497 Downloads (Pure)

Resumé

The harmonic model, i.e., a sum of sinusoids having frequencies that are integer multiples of the pitch, has been widely used for modeling of voiced speech. In microphone arrays, the direction-of-arrival (DOA) adds an additional parameter that can help in obtaining a robust procedure for tracking non-stationary speech signals in noisy conditions. In this paper, a joint DOA and pitch estimation (JDPE) method is proposed. The method is based on the minimum variance distortionless response (MVDR) beamformer in the frequency-domain and is much faster than previous joint methods, as it only requires the computation of the optimal filters once per segment. To exploit that both pitch and DOA evolve piece-wise smoothly over time, we also extend a dynamic programming approach to joint smoothing of both parameters. Simulations show the proposed method is much more robust than parallel and cascaded methods combining existing DOA and pitch estimators.
OriginalsprogEngelsk
TidsskriftEuropean Signal Processing Conference (EUSIPCO)
Udgave nummer2013
ISSN2076-1465
StatusUdgivet - 2013
BegivenhedEuropean Signal Processing Conference EUSIPCO 2013 - Marrakech, Moroco
Varighed: 9 sep. 201313 sep. 2013

Konference

KonferenceEuropean Signal Processing Conference EUSIPCO 2013
ByMarrakech, Moroco
Periode09/09/201313/09/2013

Fingerprint

Direction of arrival
Microphones
Dynamic programming

Citer dette

@inproceedings{f60a9f2041354c4c8dcc54774309833c,
title = "Fast Joint DOA and Pitch Estimation Using a Broadband MVDR Beamformer",
abstract = "The harmonic model, i.e., a sum of sinusoids having frequencies that are integer multiples of the pitch, has been widely used for modeling of voiced speech. In microphone arrays, the direction-of-arrival (DOA) adds an additional parameter that can help in obtaining a robust procedure for tracking non-stationary speech signals in noisy conditions. In this paper, a joint DOA and pitch estimation (JDPE) method is proposed. The method is based on the minimum variance distortionless response (MVDR) beamformer in the frequency-domain and is much faster than previous joint methods, as it only requires the computation of the optimal filters once per segment. To exploit that both pitch and DOA evolve piece-wise smoothly over time, we also extend a dynamic programming approach to joint smoothing of both parameters. Simulations show the proposed method is much more robust than parallel and cascaded methods combining existing DOA and pitch estimators.",
keywords = "direction-of-arrival estimation, pitch estimation, MVDR, beamforming, microphone arrays",
author = "Sam Karimian-Azari and Jensen, {Jesper Rindom} and Christensen, {Mads Gr{\ae}sb{\o}ll}",
year = "2013",
language = "English",
journal = "Proceedings of the European Signal Processing Conference",
issn = "2076-1465",
publisher = "European Association for Signal Processing (EURASIP)",
number = "2013",

}

TY - GEN

T1 - Fast Joint DOA and Pitch Estimation Using a Broadband MVDR Beamformer

AU - Karimian-Azari, Sam

AU - Jensen, Jesper Rindom

AU - Christensen, Mads Græsbøll

PY - 2013

Y1 - 2013

N2 - The harmonic model, i.e., a sum of sinusoids having frequencies that are integer multiples of the pitch, has been widely used for modeling of voiced speech. In microphone arrays, the direction-of-arrival (DOA) adds an additional parameter that can help in obtaining a robust procedure for tracking non-stationary speech signals in noisy conditions. In this paper, a joint DOA and pitch estimation (JDPE) method is proposed. The method is based on the minimum variance distortionless response (MVDR) beamformer in the frequency-domain and is much faster than previous joint methods, as it only requires the computation of the optimal filters once per segment. To exploit that both pitch and DOA evolve piece-wise smoothly over time, we also extend a dynamic programming approach to joint smoothing of both parameters. Simulations show the proposed method is much more robust than parallel and cascaded methods combining existing DOA and pitch estimators.

AB - The harmonic model, i.e., a sum of sinusoids having frequencies that are integer multiples of the pitch, has been widely used for modeling of voiced speech. In microphone arrays, the direction-of-arrival (DOA) adds an additional parameter that can help in obtaining a robust procedure for tracking non-stationary speech signals in noisy conditions. In this paper, a joint DOA and pitch estimation (JDPE) method is proposed. The method is based on the minimum variance distortionless response (MVDR) beamformer in the frequency-domain and is much faster than previous joint methods, as it only requires the computation of the optimal filters once per segment. To exploit that both pitch and DOA evolve piece-wise smoothly over time, we also extend a dynamic programming approach to joint smoothing of both parameters. Simulations show the proposed method is much more robust than parallel and cascaded methods combining existing DOA and pitch estimators.

KW - direction-of-arrival estimation

KW - pitch estimation

KW - MVDR

KW - beamforming

KW - microphone arrays

M3 - Conference article in Journal

JO - Proceedings of the European Signal Processing Conference

JF - Proceedings of the European Signal Processing Conference

SN - 2076-1465

IS - 2013

ER -