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Compression of speech using a hybrid method

Israa Abdlqader · University of Mosul, College of Education for Pure Science · 1970

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Abstract<br /> Voice compression is one of the important subject today specially in field of communication and application so in this paper, speech compression was adopted based on hybrid technique between wavelet and Huffman code. Wavelet in single dimension can reduce the signal size to half of the original in each level, then using Huffman code to store output the file.<br /> Hybrid between the above two techniques give high rate of compression ratio, and closed returned signal from the original one, because of the coding technique from the lossless classification but the idea of sample down was achieved with the wavelet which produce little loss in the retrieved data, while the effected of the wavelet is positive effect due to the reduction of the high frequencies, which effect as noise in most application[specially in speech],in addition to that it give high redundancy in the component of the speech signal [in low-low components].<br /> The practical application of the proposed algorithm give (30%) compression ratio plus stability when the file size growth up.<br /> SNR&MSE show that retrieved speech quality is good.

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APA 7

Abdlqader, I. (1970). Compression of speech using a hybrid method. https://doi.org/10.33899/edusj.1970.58930

MLA

Abdlqader, Israa. "Compression of speech using a hybrid method." 1970. https://doi.org/10.33899/edusj.1970.58930.

Chicago

Abdlqader, Israa. 1970. "Compression of speech using a hybrid method.". https://doi.org/10.33899/edusj.1970.58930.

Harvard

Abdlqader, I. 1970, Compression of speech using a hybrid method, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.1970.58930 [Accessed 5 Aug. 2026].

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Titolo
Compression of speech using a hybrid method
Autore / collaboratori
Israa Abdlqader
Editore
University of Mosul, College of Education for Pure Science
Anno di pubblicazione
1970
ISSN
1812-125X
ISSN
1812-125X
Lingua
Inglés

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