Enhancing sound quality and speech intelligibility in hearing aid applications requires efficient and adaptive audio signal processing. This chapter presents an innovative audio processing system for hearing aids, utilizing a CMOS-based memristor emulator circuit and virtual memristor crossbar array. The emulator, based on a current-injecting circuit known as an Operational Transconductance Amplifier (OTA) coupled with an inverter, mimics the ideal characteristics and functionality of memristors. The OTA is employed for its high gain, high output impedance, and low-power consumption, making it ideal for this application. While memristors, as two-terminal nanoscale memory devices, remain challenging to fabricate due to their ongoing research, this work successfully implements the memristor emulator using the SCL 180 nm technology library in Cadence Virtuoso. The chapter introduces a Memristive Integrate-and-Fire (MIF) neuron for spiking signal generation, emulating the behavior of biological neurons. The memristor emulator operates with a power consumption of less than 1 mW, a supply voltage of 1.8 V, and an operating frequency of 100 MHz. This low-power, high-performance design facilitates adaptation to various listening environments, providing a tailored auditory experience. Additionally, the chapter covers filter design for hearing aids using a virtual memristor crossbar array (1024 × 1024), developed with Python, as well as the use of memristors in digital-to-analog conversion for hearing aid applications.