Title :
Nonlinear discrete Fourier transformer for the time series analysis and application to speech coding
Author_Institution :
Dept. of Electron., Shantou Univ., Guangdong, China
Abstract :
The primary motivation of the paper is to investigate waveform coding of a speech signal. The paper presents a new signal analyzing tool-the `nonlinear discrete Fourier transform (NDFT) which has an improved signal analysis performance. By virtue of the NDFT, waveform coding of the speech signal with a long segment (for example a segment with 512 or 1024 samples) is studied. The new coding method provides an improved performance of the speech coding at as low as 4 kbit/s, the feature of the reproduced signal is kept more significant than that of the linear predictor coding
Keywords :
Fourier transforms; speech coding; time series; transform coding; 4 kbit/s; NDFT; nonlinear discrete Fourier transformer; signal analysis performance; signal analyzing tool; speech coding; speech signal; time series analysis; waveform coding; Discrete Fourier transforms; Frequency; Image coding; Image segmentation; Linear predictive coding; Performance analysis; Signal analysis; Speech analysis; Speech coding; Time series analysis;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648280
