Spectral subtraction algorithm offers a powerfully robust and computationally efficient approach to suppression of acoustic noise in speech. Real-time implementation of modified spectral subtraction method on floating-point signal processor TMS320C30 is described. The computational and memory requirements of an implemented procedures are analysed. Two types of implemented speech activity detectors, Harison's energy detector and cepstral detector are compared on real noisy speech signal from a car.