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 wor...
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Published in | 2008 16th European Signal Processing Conference pp. 1 - 4 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2008
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Subjects | |
Online Access | Get full text |
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Summary: | 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. |
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ISSN: | 2219-5491 2219-5491 |