%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{sgarimel:eusipco:2008,
                      author = {Sivaram, G. S. V. S. and Hermansky, Hynek},
                    projects = {Idiap},
                       title = {Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition},
                   booktitle = {Proc. 16th European Signal Processing Conference (EUSIPCO)},
                        year = {2008},
                        note = {IDIAP-RR 08-24},
                    crossref = {sgarimel:rr08-24},
                    abstract = {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.},
                         pdf = {https://publications.idiap.ch/attachments/papers/2008/sgarimel-eusipco-2008.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/papers/2008/sgarimel-eusipco-2008.ps.gz},
ipdmembership={speech},
}



crossreferenced publications: 
@TECHREPORT{sgarimel:rr08-24,
                      author = {Sivaram, G. S. V. S. and Hermansky, Hynek},
                    projects = {Idiap},
                       title = {Emulating Temporal Receptive Fields of Auditory Mid-Brain Neurons for Automatic Speech Recognition},
                        type = {Idiap-RR},
                      number = {Idiap-RR-24-2008},
                        year = {2008},
                 institution = {IDIAP},
                    abstract = {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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2008/sgarimel-idiap-rr-08-24.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2008/sgarimel-idiap-rr-08-24.ps.gz},
ipdmembership={speech},
}