Frequency modulation (FM) is a form of radio broadcasting which is widely
used nowadays and has been for almost a century. We suggest a
software-defined-radio (SDR) receiver for FM demodulation that adopts an
end-to-end learning based approach and utilizes the prior information of
transmitted speech message in the demodulation process. The receiver detects
and enhances speech from the in-phase and quadrature components of its base
band version. The new system yields high performance detection for both
acoustical disturbances, and communication channel noise and is foreseen to
out-perform the established methods for low signal to noise ratio (SNR)
conditions in both mean square error and in perceptual evaluation of speech
quality score