Conference paper

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

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 higher level auditory neurons, we obtain more than 11.4% relative improvement in word error rate on OGI-Digits database. Experiments on TIMIT database confirm that proposed modifications are indeed useful.


  • There is no available fulltext. Please contact the lab or the authors.

Related material