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- W2034605910 abstract "Characterizing speech spectra by means of statistical procedures reduces the amount of information needed to specify the data. When eigenvectors of the covariance matrix of short-time digital spectral data are chosen to represent the speech spectra at an average accuracy of 90%, continuous speech can be characterized by seven dimensions. However, a proper test of the adequacy of such a data reduction scheme involves perceptual studies of the reconstituted speech signals. In order to establish the relationship between statistical accuracy and perceptual intelligibility, a computer program to reconstruct the speech signal from spectral data has been prepared. Preliminary listening tests to judge the qualities of speech signals reconstituted from reduced data have been made. The experiments and results are demonstrated and discussed." @default.
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- W2034605910 date "1971-01-01" @default.
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- W2034605910 title "Quality of Speech Reconstituted from Reduced Spectral Data" @default.
- W2034605910 doi "https://doi.org/10.1121/1.1975856" @default.
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