A New Method to Represent Speech Signals Via Predefined Signature and Envelope Sequences. (7th September 2006)

• Record Type: Journal Article
• Authors: Güz Güz, Ümit Ümit; Gürkan Gürkan, Hakan Hakan; Yarman Yarman, Binboga Sıddık Binboga Sıddık
• Other Names: Berberidis Berberidis Kostas Kostas Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2006-09-07
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/56382
• Languages: English
• ISSNs: 1687-6172

Abstract

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 "signatureS = { S R ( n ) } and envelopeE = { E K ( n ) } " sets. These sets are speaker and language independent. Once the speech signals are divided into frames with selected lengths, then each frame sequenceX i ( n ) is reconstructed by means of the mathematical formX i ( n ) = C i E K ( n ) S R ( n ) . In this representation, C i is called the gain factor, S R ( n ) andE K ( n ) 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) at2.4 kbps.