Sub $\mu$W Noise Reduction for CIC Hearing Aids

Abstract

This paper presents a sub noise reduction design to enhance speech for completely-in-the-canal (CIC) type hearing aids by optimizing its algorithm and associated architecture. In algorithm optimization, a low-complexity mixed perceptual-discrete wavelet packet transform (P-DWPT) and fast Hartley transform (FHT) are adopted for spectral decomposition and reconstruction. A simple yet efficient denoise method with 4-zone-voice activity detection (VAD) supports a consonant protection to improve speech quality and a skip scheme to reduce power consumption. In the designed architecture, mixed P-DWPT and FHT are folded into one 8-by-8 configurable butterfly computation unit with on-time scheduling for low power operation. The circuit is implemented with 0.18 μm CMOS process and consumes only 0.65 μW power at 1.0 V with a speech quality that is comparable to that achieved using other high-complexity algorithms.