Title :
Adaptive microphone array system for noise reduction (AMNOR) and its performance studies
Author_Institution :
Human Interface Lab., NTT, Tokyo, Japan
Abstract :
The author describes the principle and performance of AMNOR, which consists of a compact microphone array and signal processing techniques that include an adaptive filter. It achieves high-SNR (signal-to-noise) sound reception, which is essential in areas such as teleconference systems and speech-recognition systems. The basic distinction of AMNOR compared to previous designs is that it realizes higher SNR by accepting some degree of degradation of a desired speech signal. A noise power minimization problem under second-order constraints is solved in the AMNOR system using an adaptive filter. An experiment conducted in an ordinary room showed that AMNOR realized a 21-dB SNR improvement, while a conventional directional microphone attained a 3-dB SNR improvement
Keywords :
adaptive filters; computerised signal processing; noise abatement; AMNOR; SNR improvement; adaptive filter; compact microphone array; high SNR sound reception; high-SNR; noise power minimization problem; noise reduction; operation; performance studies; second-order constraints; signal processing techniques; signal to noise ratio; speech-recognition systems; teleconference systems; Adaptive arrays; Adaptive filters; Adaptive signal processing; Adaptive systems; Array signal processing; Microphone arrays; Noise reduction; Signal design; Signal to noise ratio; Teleconferencing;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo
DOI :
10.1109/ISCAS.1988.15425
