A New Method to Represent Speech Signals Via Predefined Signature and Envelope SequencesReport as inadecuate




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EURASIP Journal on Advances in Signal Processing

, 2007:056382

Advances in Subspace-Based Techniques for Signal Processing and Communications

Abstract

A novel systematic procedure referred to as -SYMPES- to model speech signals is introduced. The structure of SYMPES is based on the creation of the so-called predefined -signatureOpen image in new window and envelopeOpen image in new window- sets. These sets are speaker and language independent. Once the speech signals are divided into frames with selected lengths, then each frame sequenceOpen image in new window is reconstructed by means of the mathematical formOpen image in new window. In this representation,Open image in new window is called the gain factor,Open image in new window andOpen image in new window are properly assigned from the predefined signature and envelope sets, respectively. Examples are given to exhibit the implementation of SYMPES. It is shown that for the same compression ratio or better, SYMPES yields considerably better speech quality over the commercially available coders such as G.726 ADPCM at 16 kbps and voice excited LPC-10E FS1015 atOpen image in new window kbps.

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Author: Ümit Güz - Hakan Gürkan - Binboga Sıddık Yarman

Source: https://link.springer.com/







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