Acoustic sensing has conventionally been dependent on highfrequency sampling of analog signals and frequency domain
analysis in digital domain which is power-hungry. While
these techniques work well for regular devices, low-power
acoustic sensors demand for an alternative approach. In this
work, we propose Lyra, a novel low-power acoustic sensing
architecture that employs carefully designed passive structures to filter incoming sound waves and extract their frequency components. We eliminate power-hungry components such as ADC and digital FFT operations and instead
propose to use low-power analog circuitry to process the
signals. Lyra aims to provide a low-power platform for a
range of maintenance-free acoustic event monitoring and
ambient computing applications.
