DocumentCode :
2535454
Title :
Separation of speech sources using an Acoustic Vector Sensor
Author :
Shujau, M. ; Ritz, C.H. ; Burnett, I.S.
Author_Institution :
Sch. of Electr., Comput., & Telecommun. Eng., Univ. of Wollongong, Wollongong, NSW, Australia
fYear :
2011
fDate :
17-19 Oct. 2011
Firstpage :
1
Lastpage :
6
Abstract :
This paper investigates how the directional characteristics of an Acoustic Vector Sensor (AVS) can be used to separate speech sources. The technique described in this work takes advantage of the frequency domain direction of arrival estimates to identify the location, relative to the AVS array, of each individual speaker in a group of speakers and separate them accordingly into individual speech signals. Results presented in this work show that the technique can be used for real-time separation of speech sources using a single 20ms frame of speech, furthermore the results presented show that there is an average improvement in the Signal to Interference Ratio (SIR) for the proposed algorithm over the unprocessed recording of 15.1 dB and an average improvement of 5.4 dB in terms of Signal to Distortion Ratio (SDR) over the unprocessed recordings. In addition to the SIR and SDR results, Perceptual Evaluation of Speech Quality (PESQ) and listening tests both show an improvement in perceptual quality of 1 Mean Opinion Score (MOS) over unprocessed recordings.
Keywords :
acoustic transducers; direction-of-arrival estimation; sensor arrays; source separation; speech processing; acoustic vector sensor; directional characteristics; frequency domain direction-of-arrival estimation; listening tests; perceptual evaluation of speech quality; real time speech source separation; Arrays; Direction of arrival estimation; Force; Microphones; Source separation; Speech; Time frequency analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing (MMSP), 2011 IEEE 13th International Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-1432-0
Electronic_ISBN :
978-1-4577-1433-7
Type :
conf
DOI :
10.1109/MMSP.2011.6093797
Filename :
6093797
Link To Document :
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