A low-complexity waveform interpolation coder

Author

Kleijn, W. Bastiaan ; Shoham, Yair ; Sen, Deep ; Hagen, Roar

Author_Institution

Dept. of Speech Coding Res., AT&T Bell Labs., Murray Hill, NJ, USA

Volume

1

fYear

1996

fDate

7-10 May 1996

Firstpage

212

Abstract

A recent independent survey found a 2.4 kbit/s waveform-interpolation (WI) algorithm to perform better than other state-of-the-art speech coders. However, this coder had a very high level of computational complexity. The introduction of various techniques, including a time-varying waveform sampling rate and a cubic B-spline waveform representation, has reduced the computational complexity by an order of magnitude. The new implementation allows full-duplex real-time operation on a single DSP device and on an average workstation (the latter using non-optimized compiled C source code). The new coder also contains a number of new features which improve the quality of the reconstructed speech signal

Keywords

computational complexity; digital signal processing chips; interpolation; linear predictive coding; signal representation; signal sampling; speech coding; splines (mathematics); vocoders; 2.4 kbit/s; DSP chip; computational complexity; cubic B-spline waveform representation; full-duplex real-time operation; low bit rate; low-complexity; reconstructed speech signal; speech coder; speech quality; time-varying waveform sampling rate; waveform interpolation algorithm; Code standards; Computational complexity; Digital signal processing; Filtering; Interpolation; Low pass filters; Sampling methods; Speech coding; Speech synthesis; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.540328

Filename

540328