A Digital Microphone Array for Distant Speech Recognition

Erich Zwyssig, Mike Lincoln, Steve Renals

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper, the design, implementation and testing of a digital microphone array is presented. The array uses digital MEMS microphones which integrate the microphone, amplifier and analogue to digital converter on a single chip in place of the analogue microphones and external audio interfaces currently used. The device has the potential to be smaller, cheaper and more flexible than typical analogue arrays, however the effect on speech recognition performance of using digital microphones is as yet unknown. In order to evaluate the effect, an analogue array and the new digital array are used to simultaneously record test data for a speech recognition experiment. Initial results employing no adaptation show that performance using the digital array is significantly worse (14\% absolute WER) than the analogue device. Subsequent experiments using MLLR and CMLLR channel adaptation reduce this gap, and employing MLLR for both channel and speaker adaptation reduces the difference between the arrays to 4.5\% absolute WER.
Original languageEnglish
Title of host publicationAcoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Place of PublicationNew York
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Print)978-1-4244-4296-6
Publication statusPublished - 2010


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