Abstract:
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 pr...Show MoreMetadata
Abstract:
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.
Date of Conference: 19-21 March 1984
Date Added to IEEE Xplore: 29 January 2003