Segmentation of speech into syllables is beneficial for many spoken language processing applications since it provides information about phonological and rhythmic aspects of speech. Traditional methods usually detect syllable nuclei using features such as energies in critical bands, linear predictive coding spectra, pitch, voicing, etc. Here, a novel system that uses auditory attention cues is ...