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  •   DSpace@Işık
  • 1- Fakülteler | Faculties
  • Mühendislik Fakültesi / Faculty of Engineering
  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
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A novel method to represent the speech signals by using language and speaker independent predefined functions sets

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Date

2004

Author

Güz, Ümit
Gürkan, Hakan
Yarman, Bekir Sıddık Binboğa

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Citation

Güz, Ü., Gürkan, H. & Yarman, B. S. B. (2004). A novel method to represent the speech signals by using language and speaker independent predefined functions sets. Paper presented at the 2004 IEEE International Symposium on Circuits and Systems, 457-460. doi:10.1109/ISCAS.2004.1328782

Abstract

In this paper a new modeling method of speech signals is introduced. The proposed method is based on the generation of the so-called Predefined Signature S={s(R)(t)} and Envelope Function E = {e(K)(t)} Sets (PSEFS). These function sets are independent of any speaker and any language. Once the speech signals are divided into frames with selected lengths, then each frame signal piece X-i(t) is synthesized by means of the mathematical form of x(i)(t)=C(i)e(K)(t)s(R)(t). In this representation, C-i is called the frame coefficient, s(R)(t) and e(K)(t) are properly assigned from the PSEFS respectively. It is shown that the proposed method provides fast reconstruction and substantial compression with acceptable hearing quality.

Source

2004 IEEE International Symposium on Circuits and Systems

URI

https://hdl.handle.net/11729/662
http://dx.doi.org/10.1109/ISCAS.2004.1328782

Collections

  • MF - Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [222]
  • Scopus İndeksli Bildiri Koleksiyonu [469]
  • WoS İndeksli Bildiri Koleksiyonu [372]

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  • A novel noise robust and low bit rate speech coding algorithm 

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    In this work, a new noise robust and variable length frame based speech modeling method is introduced. This method consists of three major steps which includes noise removal algorithm, coding and encoding algorithms, ...
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