Multimicrophone adaptive beamforming for interference reduction in hearing aids.
To reduce interference in monaural hearing aids from sound sources that are spatially separated from a target source, we are investigating methods for combining information from multiple microphones. In this paper, we describe an adaptive beamforming method that functions to preserve target signals arriving from straight-ahead of a microphone array while minimizing output power from off-axis interference sources. In a preliminary evaluation of a two-microphone system, sentence intelligibility tests were administered to normal-hearing subjects using processed and unprocessed materials from simulated environments in which the target was on-axis, the interference (speech babble) was 45 degrees off-axis, and the reverberation mimicked that of a living room, a conference room, and anechoic space. Compared to listening through a single microphone, the two-microphone beamformer reduced the target-to-interference ratio required to achieve 50 percent keyword intelligibility by 30, 14, and 0 dB in the anechoic, living-room, and conference-room conditions, respectively. The corresponding improvements over binaural listening (one microphone to each ear) were 24, 9, and 0 dB. Further tests in the living-room environment using the same beam-forming system but with filter impulse responses shortened by a factor of four (which would decrease the adaptation time by a factor of four) decreased the improvement by 5 dB. These results are sufficiently encouraging to warrant further tests involving more realistic reverberant conditions, multiple sources of interference, and time-varying acoustic environments.
Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge 02139.
P M
PM
Peterson
N I
NI
Durlach
W M
WM
Rabinowitz
P M
PM
Zurek
D000162:Acoustics; D003638:Deafness / Q000534:rehabilitation*; D004292:Dominance, Cerebral; D006310:Hearing Aids; D006801:Humans; D008838:Microcomputers; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013067:Speech Perception