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A hierarchical two-level analysis structure for use in speech coding and recognition

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2 Author(s)
Fjallbrant, T. ; Dept. of Electr. Eng., Linkoping Univ., Sweden ; Mekuria, F.

The authors describe an analysis network that has been successfully applied to redundancy extraction in speech coding and for classification purposes in speech recognition. The network is designed as a two-level hierarchical structure with one building block. This building block performs a DCT (discrete cosine transformation) followed by magnitude and phase-derivative time trajectory computation. A combined short- and long-term analysis is obtained as well as energy compaction to a very small number of characteristic parameters. The parameters reflect both formant and pitch structure of voiced speech signals. The analysis applies to any quasi-stationary signal and is not dependent on any speech production model

Published in:

Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on

Date of Conference:

23-26 May 1989