A phoneme recognition framework based on auditory spectro-temporal receptive fields
Samuel Thomas, Kailash Patil, Sriram Ganapathy, Nima Mesgarani, Hynek Heřmanský · 2010
We propose to incorporate features derived using spectrotemporal receptive fields (STRFs) of neurons in the auditory cortex for phoneme recognition. Each of these STRFs is tuned to different auditory frequencies, scales and modulation rates. We select different sets of STRFs which are specific for phonemes in different broad phonetic classes (BPC) of sounds. These STRFs are then used as spectro-temporal filters on spectrograms of speech to extract features for phoneme recognition. For the phoneme recognition task on the TIMIT database, the proposed features show a relative improvement of about 5% over conventional feature extraction techniques.