This paper describes our current efforts toward creating cooperative analog-digital signal-processing systems for auditory sensor and signal-processing applications. We address resolution issues that affect the choice of signal-processing algorithms arriving from an analog sensor. We discuss current analog circuit approaches toward the front-end signal processing by reviewing major programmable analog building blocks and showing how they can be interconnected to create a complete system. We also discuss our current IC approaches using this technology for noise suppression, as well as our current analog signal-processing front-end system for speech recognition. Experimental data is presented from circuits fabricated using a 0.5 m nwell CMOS process available through MOSIS.Index Terms-Analog cepstrum, analog hidden Markov model (HMM), analog signal processing (ASP), analog speech enhancement in noise, analog speech recognition, analog vector quantization (VQ), auditory signal processing, floating-gate circuits. N EW advances in analog very large-scale integration (VLSI) circuits have made it possible to perform operations that more closely reflect those done in digital signal-processing (DSP) applications or that are desired in future DSP applications. With these advances, analog circuits and systems can be programmable, reconfigurable, adaptive, and at a density comparable to digital memories (for example, 100 000+ multipliers on a single chip). Therefore, with both DSP and analog signal-processing (ASP) modalities feasible, more options are now available when designing a signal-processing system.In this paper, we will discuss ASP in the context of several audio-processing systems. The comparable digital algorithms are well understood and, since they are not novel, are not discussed here. The purpose, then, of this paper is to demonstrate the analog options available when deciding where to partition the analog and digital parts of a system. First, we will address resolution issues that affect the choice of signal-processing algorithms arriving from an analog sensor. Second, we will discuss the building blocks of current analog circuit approaches toward front-end signal processing and the relationship to modeling biological cochleas. Third, we will discuss our current IC