Title :
Coherent-to-Diffuse Power Ratio Estimation for Dereverberation
Author :
Schwarz, Andreas ; Kellermann, Walter
Author_Institution :
Dept. of Multimedia Commun. & Signal Process., Friedrich-Alexander-Univ. Erlangen-Nurnberg, Erlangen, Germany
Abstract :
The estimation of the time- and frequency-dependent coherent-to-diffuse power ratio (CDR) from the measured spatial coherence between two omnidirectional microphones is investigated. Known CDR estimators are formulated in a common framework, illustrated using a geometric interpretation in the complex plane, and investigated with respect to bias and robustness towards model errors. Several novel unbiased CDR estimators are proposed, and it is shown that knowledge of either the direction of arrival (DOA) of the target source or the coherence of the noise field is sufficient for unbiased CDR estimation. The validity of the model for the application of CDR estimates to dereverberation is investigated using measured and simulated impulse responses. A CDR-based dereverberation system is presented and evaluated using signal-based quality measures as well as automatic speech recognition accuracy. The results show that the proposed unbiased estimators have a practical advantage over existing estimators, and that the proposed DOA-independent estimator can be used for effective blind dereverberation.
Keywords :
acoustic noise; acoustic signal processing; coherence; direction-of-arrival estimation; microphones; reverberation; speech recognition; CDR estimators; CDR-based dereverberation system; DOA-independent estimator; automatic speech recognition accuracy; blind dereverberation; coherent-to-diffuse power ratio estimation; direction of arrival; frequency-dependent coherent-to-diffuse power ratio; impulse responses; noise field; omnidirectional microphones; signal-based quality; spatial coherence; target source; time-dependent coherent-to-diffuse power ratio; unbiased CDR estimation; unbiased estimators; Coherence; Direction-of-arrival estimation; Estimation; Microphones; Noise; Reverberation; Spatial coherence; Dereverberation; diffuse noise suppression; diffuseness; reverberation suppression; spatial coherence;
Journal_Title :
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
DOI :
10.1109/TASLP.2015.2418571