Paper Info
Title
Waveform Extraction For Perfect Reconstruction In Wi Coding
Abstract
A signal model used in waveform interpolation (WI) coding assumes implicitly that the pitch period remains constant within a waveform to be extracted. This assumption is utilized for determining waveform boundaries and for forming the discrete Fourier transform (DFT) of the extracted waveform. Therefore, the waveforms do not describe the original signal faithfully during pitch changes even if an accurate pitch estimate is available for each time instant. Due to the distortions occurring in waveform extraction, the original signal cannot be recovered. In this paper, we discuss assumptions of the signal model and present a waveform extraction algorithm which provides asymptotically perfect reconstruction with vanishing quantization error. The algorithm uses cubic B-spline interpolation as the continuous approximation of the signal. The full benefit of the waveform extraction algorithm is obtained when an accurate pitch estimate is available.
Year
DOI
Venue
2000
10.1109/ICASSP.2000.861831
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI
Keywords
Field
DocType
speech coding,signal processing,discrete fourier transform,quantization,spline interpolation,shape,spline,dft,signal reconstruction,interpolation,fourier transforms,quantization error,sampling methods
Mathematical optimization,Speech coding,Pattern recognition,Pitch period,Computer science,Waveform,Interpolation,Coding (social sciences),Artificial intelligence,Discrete Fourier transform,Quantization (signal processing),Signal reconstruction
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.56
References 
Authors
0
3
Name
Order
Citations
PageRank
Vesa T. Ruoppila1113.03
Mikko Tammi2132.83
Jukka Saarinen326446.21