Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition

This paper proposes modifications to the Multi-resolution RASTA (MRASTA) feature extraction technique for the automatic speech recognition (ASR). By emulating asymmetries of the temporal receptive field (TRF) profiles of auditory mid-brain neurons, we obtain more than $13\% $ relative improvement in word error rate on OGI-Digits database. Experiments on TIMIT database confirm that proposed modifications are indeed useful.


Presented at:
Proc. 16th European Signal Processing Conference (EUSIPCO)
Year:
2008
Note:
IDIAP-RR 08-24
Laboratories:




 Record created 2010-02-11, last modified 2018-03-17

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