Abstract:
We propose an improved spectral subtraction method for reducing acoustic noise added to speech in noisy environments like helicopter cockpit or car engine. Basic power spectral subtraction is modified using Discrete Hartley Transform to estimate cross-terms that are usually neglected. A large amount of memory storage and computational volume is saved using a real data transform. Experiments with speech affected by Gaussian and engine noise showed a better estimation of clean speech with the proposed method.