DocumentCode
282034
Title
Fixed point arithmetic in speech recognition systems
Author
Tyler, J.E.M.
Author_Institution
Robert Gordon´´s Inst. of Technol., Aberdeen, UK
fYear
1989
fDate
32660
Firstpage
42644
Lastpage
42646
Abstract
Describes some of the methods used by the author and others in the construction of speech recognisers. The author has implemented some techniques using software written in a high level language, with special functions to implement the fixed point arithmetic processes. A number was represented as a 32 bit integer format, 16 bits for the whole part and 16 bits for the fraction. The techniques implemented were: Levinson-Durbin recursion for LPC calculation; Prime number fast Fourier transform; and cubic spline interpolation for linear time normalisation
Keywords
digital arithmetic; encoding; fast Fourier transforms; ferromagnetic-paramagnetic transitions; interpolation; speech recognition; splines (mathematics); 32 bit; LPC; Levinson-Durbin recursion; Prime number fast Fourier transform; cubic spline interpolation; fixed point arithmetic; high level language; integer format; linear time normalisation; speech recognition systems;
fLanguage
English
Publisher
iet
Conference_Titel
Signal Processing Applications of Finite Field Mathematics, IEE Colloquium on
Conference_Location
London
Type
conf
Filename
198560
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