1. A method for syllable/vowel/phone boundary detection in speech, comprising: a) extracting one or more multi-scale features from an auditory spectrum for an input window of sound, wherein each multi-scale feature is extracted using a separate two-dimensional spectro-temporal receptive filter; b) generating one or more feature maps corresponding to the one or more multi-scale features; c) extracting an auditory gist vector from each of the one or more feature maps; d) obtaining a cumulative gist vector through augmentation of each auditory gist vector extracted from the one or more feature maps; and e) detecting one or more syllable or vowel or phone boundaries in the input window of sound by mapping the cumulative gist vector to one or more syllable or vowel or phone boundaries.
1. A method for syllable/vowel/phone boundary detection in speech, comprising: a) extracting one or more multi-scale features from an auditory spectrum for an input window of sound, wherein each multi-scale feature is extracted using a separate two-dimensional spectro-temporal receptive filter; b) generating one or more feature maps corresponding to the one or more multi-scale features; c) extracting an auditory gist vector from each of the one or more feature maps; d) obtaining a cumulative gist vector through augmentation of each auditory gist vector extracted from the one or more feature maps; and e) detecting one or more syllable or vowel or phone boundaries in the input window of sound by mapping the cumulative gist vector to one or more syllable or vowel or phone boundaries. 13. The method of claim 1 , wherein each auditory gist factor in c) is determined by dividing its corresponding feature map into an m-by-n grid of sub-regions and calculating statistics for each sub-region.