CONF sgarimel:is:2008/IDIAP Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition Sivaram, G. S. V. S. Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/papers/2008/sgarimel-is-2008.pdf PUBLIC http://publications.idiap.ch/index.php/publications/showcite/sgarimel:rr08-25 Related documents Interspeech 2008 2008 IDIAP-RR 08-25 We propose a new auditory inspired feature extraction technique for automatic speech recognition (ASR). Features are extracted by filtering the temporal trajectory of spectral energies in each critical band of speech by a bank of finite impulse response (FIR) filters. Impulse responses of these filters are derived from a modified Gabor envelope in order to emulate asymmetries of the temporal receptive field (TRF) profiles observed in higher level auditory neurons. We obtain $11.4\% $ relative improvement in word error rate on OGI-Digits database and, $3.2\%$ relative improvement in phoneme error rate on TIMIT database over the MRASTA technique. REPORT sgarimel:rr08-25/IDIAP Introducing Temporal Asymmetries in Feature Extraction for Automatic Speech Recognition Sivaram, G. S. V. S. Hermansky, Hynek EXTERNAL http://publications.idiap.ch/attachments/reports/2008/sgarimel-idiap-rr-08-25.pdf PUBLIC Idiap-RR-25-2008 2008 IDIAP We propose a new auditory inspired feature extraction technique for automatic speech recognition (ASR). Features are extracted by filtering the temporal trajectory of spectral energies in each critical band of speech by a bank of finite impulse response (FIR) filters. Impulse responses of these filters are derived from a modified Gabor envelope in order to emulate asymmetries of the temporal receptive field (TRF) profiles observed in higher level auditory neurons. We obtain $11.4\% $ relative improvement in word error rate on OGI-Digits database and, $3.2\%$ relative improvement in phoneme error rate on TIMIT database over the MRASTA technique.