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An energy-efficient spike encoding circuit for speech edge detection

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Abstract

In speech processing applications, the instantaneous bandwidth of speech can be used to adaptively control the performance of an audio sensor’s analog front end. Extracting the instantaneous bandwidth of speech depends on the detection of speech edges in the time–frequency plane. In this paper, we propose a spike encoding circuit for real-time and low-power speech edge detection. The circuit can directly encode the signal’s envelope information—an important feature to identify the speech edge—by temporal spike density without additional envelope extraction. Furthermore, the spike encoding circuit automatically adapts its resolution to the amplitude of the input signal, which improves the encoding resolution for small signal without increasing the power consumption. We use the nonlinear dynamical approach to design this circuit and analyze its stability. We also develop a linearized model for this circuit to provide the design intuition and to explain its adaptive resolution. Fabricated in 0.5-μm CMOS process, the spike encoding circuit consumes 0.3-μW power and the experimental results are presented.

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Acknowledgments

This work was supported by the Neukom Institute at Dartmouth College and National Science Foundation under Grant ECCS-1128478.

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  1. Thayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA

    Dingkun Du & Kofi Odame

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  1. Dingkun Du
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  2. Kofi Odame
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Correspondence to Dingkun Du.

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Du, D., Odame, K. An energy-efficient spike encoding circuit for speech edge detection. Analog Integr Circ Sig Process 75, 447–458 (2013). https://doi.org/10.1007/s10470-013-0041-y

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