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
Link To Document :
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