Signal transformation and interpolation based on modified DCT synthesis

Authors:
Hakkı Gökhan İlk;Saadettin Güler
Affiliations:
Ankara University, Faculty of Engineering, Department of Electronics Engineering, Beşevler, 06100, Ankara, Turkey;Ankara University, Faculty of Engineering, Department of Electronics Engineering, Beşevler, 06100, Ankara, Turkey
Venue:
Digital Signal Processing
Year:
2011

Citing 6
Cited 0

Discrete cosine transform: algorithms, advantages, applications

Discrete cosine transform: algorithms, advantages, applications
Discrete-time signal processing (2nd ed.)

Discrete-time signal processing (2nd ed.)
Adaptive time scale modification of speech for graceful degrading voice quality in congested networks for VoIP applications

Signal Processing
Continuous representations in linear predictive coding

ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
High-quality speech coding at 2.4 to 4.0 kbps based on time-frequency interpolation

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
An overlap-add technique based on waveform similarity (WSOLA) for high quality time-scale modification of speech

ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a novel signal transformation and interpolation approach based on the modification of DCT (Discrete Cosine Transform). The proposed algorithm can be applied to any periodic or quasi periodic waveform for time scale and/or pitch modification purposes in addition to signal reconstruction, compression, coding and packet lost concealment. The proposed algorithm has two advantages:(i)Since DCT does not have the explicit phase information, one does not need the cubic spline interpolation of the phase component of the sinusoidal model. (ii)The parameters to be interpolated can be reduced because of the energy packing efficiency of the DCT. This is particularly important if signal synthesis is carried out on a remote location from the transmitted parameters. The results are presented on periodic waveforms and on speech signal in order to appreciate the fidelity of the proposed algorithm. In addition, the proposed method is compared with TD-PSOLA, sinusoidal model and phase vocoder algorithms. The results are presented in objective PESQ scores for time scale modification and output files are provided as supplementary material, for subjective evaluation, for packet lost concealment. Results prove that the proposed modification of the DCT synthesis provides a favorable algorithm for specialists working in the signal processing area.