Robust Joint Estimation of Multimicrophone Signal Model Parameters

Robust Joint Estimation of Multimicrophone Signal Model Parameters

Koutrouvelis, A. (TU Delft Signal Processing Systems)
Hendriks, R.C. (TU Delft Signal Processing Systems)
Heusdens, R. (TU Delft Signal Processing Systems)
Jensen, Jesper (Aalborg University; Oticon A/S)

2019

One of the biggest challenges in multimicrophone applications is the estimation of the parameters of the signal model, such as the power spectral densities (PSDs) of the sources, the early (relative) acoustic transfer functions of the sources with respect to the microphones, the PSD of late reverberation, and the PSDs of microphone-self noise. Typically, existing methods estimate subsets of the aforementioned parameters and assume some of the other parameters to be known a priori. This may result in inconsistencies and inaccurately estimated parameters and potential performance degradation in the applications using these estimated parameters. So far, there is no method to jointly estimate all the aforementioned parameters. In this paper, we propose a robust method for jointly estimating all the aforementioned parameters using confirmatory factor analysis. The estimation accuracy of the signal-model parameters thus obtained outperforms existing methods in most cases. We experimentally show significant performance gains in several multimicrophone applications over state-of-the-art methods.

Confirmatory factor analysis
dereverberation
joint diagonalization
multimicrophone
source separation
speech enhancement

http://resolver.tudelft.nl/uuid:15033c57-6aba-499c-99cd-6277aa8b2006

https://doi.org/10.1109/TASLP.2019.2911167

2329-9290

IEEE - ACM Transactions on Audio, Speech, and Language Processing, 27 (7), 1136-1150

Accepted author manuscript

Institutional Repository

journal article

© 2019 A. Koutrouvelis, R.C. Hendriks, R. Heusdens, Jesper Jensen