標題: Neuromorphic Pitch Based Noise Reduction for Monosyllable Hearing Aid System Application
作者: Chen, Yu-Jui
Wei, Cheng-Wen
Yi FanChiang
Meng, Yi-Le
Huang, Yi-Cheng
Jou, Shyh-Jye
電子工程學系及電子研究所
Department of Electronics Engineering and Institute of Electronics
關鍵字: Hearing aids;Mandarin;neuromorphic;noise reduction;non-stationary;pitch
公開日期: 1-二月-2014
摘要: This paper presents a low computational complexity hardware-oriented neuromorphic pitch based noise reduction (NR) algorithm and hardware implementation for monosyllable hearing aid system applications. The proposed NR design consists of a pitch-based voice activity detector (pitch-based VAD) for speech detection and a neuromorphic noise attenuator for speech enhancement. The pitch-based VAD is developed on ANSI S1.11 based filter bank architecture and employs the characteristics of monosyllable and nonlinear energy operator (NEO) to improve the accuracy of VAD. The neuromorphic noise attenuator reduces the background noise by using the characteristics of human hearing system and the clues of speech. Simulation results show that the proposed algorithm has better SNR and PESQ performance than other non-pitch based NR algorithms in non-stationary background noise environments. Compared with multiband (mband) spectral subtraction and minimum mean square error (mmse) algorithms, the computational complexity of the proposed algorithm can save 90% computational complexity. The hardware implementation consumes 47.74 mu W at 0.5 V operation with 65 nm HVT standard cell library.
URI: http://dx.doi.org/10.1109/TCSI.2013.2278348
http://hdl.handle.net/11536/23814
ISSN: 1549-8328
DOI: 10.1109/TCSI.2013.2278348
期刊: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Volume: 61
Issue: 2
起始頁: 463
結束頁: 475
顯示於類別:期刊論文


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