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A new speech compression method
Author(s) -
Miranda Nafornita,
Alexandru Isar,
Dorina Isar
Publication year - 2004
Publication title -
facta universitatis - series electronics and energetics
Language(s) - English
Resource type - Journals
eISSN - 2217-5997
pISSN - 0353-3670
DOI - 10.2298/fuee0403391n
Subject(s) - discrete cosine transform , algorithm , data compression , data compression ratio , transform coding , computer science , compression (physics) , quantization (signal processing) , speech coding , speech recognition , mathematics , image compression , artificial intelligence , image processing , physics , image (mathematics) , thermodynamics
In this paper a new speech compression method is presented. The tra- ditional speech compression method is based on linear prediction. The compression method, proposed in this paper, is based on the use of an orthogonal transform, the dis- crete cosine packets transform. This method is well suited for the speech processing, taking into account the sine model of this kind of signals and because this transform converges asymptotically to the Karhunen-Lo eve transform. After the computation of the discrete cosine packets transform, the coefcients obtained are processed with a threshold detector, who keeps only the coefcients superior to a given threshold. This way the number of non zero coefcients is reduced doing the compression. The next block of the compression system is the quantization system. This is build following the speech psycho-acoustic model. The proposed compression method is transparent, the compression rate obtained is important and the operations number and the memory volume used are not very high.

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