Computer Science and Communications Dictionary
Computer Science and Communications Dictionary
Auditory coding based speech enhancement
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Auditory nerve representation as a front-end for speech recognition in a noisy environment
Computer Speech and Language
Event-driven data acquisition and digital signal processing: a tutorial
IEEE Transactions on Circuits and Systems II: Express Briefs
Auditory Segmentation Based on Onset and Offset Analysis
IEEE Transactions on Audio, Speech, and Language Processing
Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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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.