Title :
Optimal distributed microphone phase estimation
Author :
Trawicki, Marek B. ; Johnson, Michael T.
Author_Institution :
Speech & Signal Process. Lab., Marquette Univ., Milwaukee, WI
Abstract :
This paper presents a minimum mean-square error spectral phase estimator for speech enhancement in the distributed multiple microphone scenario. The estimator uses Gaussian models for both the speech and noise priors under the assumption of a diffuse incoherent noise field representing ambient noise in a widely dispersed microphone configuration. Experiments demonstrate significant benefits of using the optimal multichannel phase estimator as compared to the noisy phase of a reference channel.
Keywords :
Gaussian processes; microphones; speech enhancement; Gaussian models; ambient noise; diffuse incoherent noise field; distributed multiple microphone scenario; microphone configuration; minimum mean-square error spectral phase estimator; noisy phase; optimal distributed microphone phase estimation; optimal multichannel phase estimator; reference channel; speech enhancement; Acoustic noise; Amplitude estimation; Frequency; Gaussian noise; Microphone arrays; Phase estimation; Phased arrays; Speech enhancement; Speech recognition; Working environment noise; Acoustic arrays; amplitude estimation; parameter estimation; phase estimation; speech enhancement;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4960049