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.

Emulating Temporal Receptive Fields of Higher Level Auditory Neurons for ASR

Graph Chatbot

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Probing and modulating inter-areal coupling in the cortical visual motion processing pathway with non-invasive brain stimulation

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Probing and modulating inter-areal coupling in the cortical visual motion processing pathway with non-invasive brain stimulation

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation