Automatic segmentation of Indonesian speech into syllables using fuzzy smoothed energy contour with local normalization,splitting,and assimilation

This paper discusses the usage of the short-term energy contour of speech smoothed by a fuzzy-based method to automatically segment it into syllabic units. two new additional procedures,local normalization and postprocessing,are proposed to adapt to the indonesian language. testing to 220 indonesian utterances showed that the local normalization significantly improved the performance of the fuzzy-based smoothing. in the postprocessing procedure,splitting and assimilation work in different ways. the splitting of missed short syllables sharply reduced deletion,but slightly increased insertion. on the other hand,the assimilation of a single consonant segment into an expected previous or next segment slightly reduced insertion,but increased deletion. the use of splitting gave a higher accuracy than the assimilation and combined splittingassimilation procedures,since in many cases the assimilation keeps the unexpected insertions and overmerges the expected segments. © 2014,published by itb journal publisher.