Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario

Estimation of the acoustic-scene related parameters
such as relative transfer functions (RTFs) from source to microphones,
source power spectral densities (PSDs) and PSDs of
the late reverberation is essential and also challenging. Existing
maximum likelihood estimators typically consider only subsets
of these parameters and use each time frame separately. This matlab software package accompanies a paper where we explicitly focus on the single source scenario and estimate
all parameters jointly using multiple time frames. The algorithm has similar estimation performance
compared to a recently proposed reference algorithm
called simultaneously confirmatory factor analysis (SCFA), but
at a much lower complexity. 

Related publications

1. Joint Maximum Likelihood Estimation of Microphone Array Parameters for a Reverberant Single Source Scenario
   Changheng Li; J. A. Martinez.; R. C. Hendriks;
   Trans. Audio, Speech and Language Processing,
   Volume 31, pp. 695 - 705, 2023. DOI: 10.1109/TASLP.2022.3231706
   document