Lateral inhibition mechanism in computational auditory model and its application in robust speech recognition

Author

Xugang, Lu ; Gang, Li ; Lip, Wang

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

2

fYear

2000

fDate

2000

Firstpage

785

Abstract

In the auditory neural system, the lateral inhibition mechanism is very common, such as in the cochlear nucleus, auditory cortex, etc. The function of this lateral inhibition is to sharpen the contrast of the temporal and spatial structures, thus prominent features of stimulation in spatial and temporal domains can be enhanced. In this paper, a new mathematical model based on lateral inhibition is proposed. Traditional feature MFCC (Mel Frequency Cepstral Coefficient) and auditory feature AFCC (Auditory Frequency Cepstral Coefficient) are processed by this model, new features can be obtained such as MFCCI and AFCCI. Experiments with the new features with a HMM show that they can improve the robustness of the recognition rate in noisy conditions

Keywords

cepstral analysis; hearing; hidden Markov models; neural nets; speech recognition; AFCC; Auditory Frequency Cepstral Coefficient; HMM; MFCC; Mel Frequency Cepstral Coefficient; auditory cortex; auditory neural system; cochlear nucleus; computational auditory model; experiments; hidden Markov model; lateral inhibition mechanism; mathematical model; speech recognition; Brain modeling; Computational modeling; Hidden Markov models; Mathematical model; Mel frequency cepstral coefficient; Neurons; Noise reduction; Robustness; Speech recognition; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop

Conference_Location

Sydney, NSW

ISSN

1089-3555

Print_ISBN

0-7803-6278-0

Type

conf

DOI

10.1109/NNSP.2000.890158

Filename

890158