Sixth International Conference on Spoken Language Processing
October 16-20, 2000
On the Use of Filter-Bank Energies Driven from the Autocorrelation Sequence for Noisy Speech Recognition
TALP Research Center, UPC, Barcelona, Spain
The OSA-LP (One-Sided Autocorrelation LP) representation of
speech signal has shown to be attractive for noisy speech
recognition because of both its high recognition performance
with respect to the conventional LP in severe conditions of
additive broad-band noise and its computational simplicity.
However, the mel-cepstrum representation, which comes from a
filter bank (FB) analysis, has become increasingly popular.
Furthermore, hybrid techniques that combine filter-bank and LP
analysis, have also been proposed. The aim of this paper is to
gain some perspective of the merit of the autocorrelation, LP
and FB based techniques in a real environment.
Hernando, Javier (2000):
"On the use of filter-bank energies driven from the autocorrelation sequence for noisy speech recognition",
In ICSLP-2000, vol.3, 102-105.