Title :
A resonant piezoelectric microphone array for detection of acoustic signatures in noisy environments
Author :
Shkel, Anton A. ; Baumgartel, Lukas ; Eun Sok Kim
Author_Institution :
Univ. of Southern California, Los Angeles, CA, USA
Abstract :
This paper reports a MEMS acoustic resonator array that improves Automatic Speech Recognition (ASR) and signature detection characteristics in environments with high levels of acoustic interference. The experiments with the acoustic resonator array show an increase of 62.7 percentage points in ASR transcription accuracy for signals buried under noise with -15 dB Signal-to-Noise Ratio (SNR). The results of this study support the development of resonant acoustic sensors for a variety of pattern recognition applications.
Keywords :
acoustic resonators; acoustic wave interference; microfabrication; micromechanical resonators; microphone arrays; microsensors; piezoelectric transducers; speech recognition; ASR transcription accuracy; MEMS acoustic resonator array; SNR; acoustic interference; acoustic signature detection characteristics; automatic speech recognition; noise figure -15 dB; noisy environment; pattern recognition application; resonant acoustic sensor array; resonant piezoelectric microphone array; signal-to-noise ratio; Acoustics; Arrays; Filtering; Microphones; Resonant frequency; Signal to noise ratio;
Conference_Titel :
Micro Electro Mechanical Systems (MEMS), 2015 28th IEEE International Conference on
Conference_Location :
Estoril
DOI :
10.1109/MEMSYS.2015.7051109
