Low Computational Complexity Pitch Based VAD for Dynamic Environment in Hearing Aids

摘要：

This paper presents a low computational complexity and high robust voice activity detection (VAD) algorithm. The algorithm is based on an efficient time-domain pitch detection and harmonic structure discrimination exploiting frequency decomposition by 1/3 octave filter bank defined in ANSI SI.11 standard. In addition, a simple yet efficient phoneme keeper (PK) is adopted for the detection of monosyllable languages, such as Mandarin. Simulation results reveal that the proposed VAD has very robust performance for Mandarin speeches in different environments, even for dynamic SNR (signal to noise ratio) and noise type. Furthermore, in white noise with OdB SNR, the proposed VAD still has about 90 percent accuracy.

关键词： Voice Activity Detection Pitch Dynamic Noise Environment Hearing Aids Mandarin Chinese

作者: Yu-Jui Chen Cheng-Wen Wei Yi-Le Meng Shyh-Jye Jou

作者单位: Department of Electronics Engineering & Institute of Electronics, National Chiao Tung University 100 Department of Electronics Engineering & Institute of Electronics, National Chiao Tung University 100

会议类型: 国际会议

会议名称: 2010 International Conference on Bio-inspried System and Signal Processing(2010 IEEE生物系统与信号处理国际会议 ICBSSP 2010)

会议地点: 厦门

会议语种:英文

页码: 162-165

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）