We describe architectures for audio classification front ends on a reconfigurable analog platform. Real-time implementation of audio processing algorithms involving discrete-time signals tend to be power-intensive. We present an alternate continuous-time system implementation of a noise-suppression algorithm on our reconfigurable chip, while detailing the design considerations. We also describe a framework that enables future implementations of other speech processing algorithms, classifier front ends, and hearing aids.