MELP: The New Federal Standard at 2400 Bps
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
A noise reduction preprocessor for mobile voice communication
EURASIP Journal on Applied Signal Processing
Spectrogram segmentation by means of statistical features for non-stationary signal interpretation
IEEE Transactions on Signal Processing
Exploiting nonacoustic sensors for speech encoding
IEEE Transactions on Audio, Speech, and Language Processing
Three new speech coders from the ITU cover a range of applications
IEEE Communications Magazine
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Speech intelligibility is the very essence of communications. When high noise can degrade a speech signal to the threshold of intelligibility, for example in mobile and military applications, introducing further degradation by a speech coder could prove critical. This paper investigates concepts towards a new speech coder that draws upon the field of image processing in a new multimedia approach. The coder is based on a spectrogram segmentation image processing procedure. The design criterion is for minimal intelligibility loss in high noise, as opposed to the conventional quality criterion, and the bit rate must be reasonable. First phase intelligibility listening test results assessing its potential alongside six standard coders are reported. Experimental results show the robustness of the LD-CELP coder, and the potential of the new coder with particularly good results in car noise conditions below -4.0dB.