The harmonic magnitude suppression (EMS) technique for intelligibility enhancement in the presence of interfering speech
Brian A. Hanson, D. Wong · 2005
Algorithms based on spectral subtraction are developed for improving the intelligibility of speech that has been interfered by a second talker's voice. A number of new properties of spectral subtraction are shown, including the effects of phase on the output speech intelligibility, and the choice of magnitude spectral differences for best results. A harmonic extraction algorithm is also developed. Results of formal testing on the final system show that significant gain in intelligibility for low signal-to-noise ratio conditions is achieved.