Automatic Segmentation of Wave File

This paper presents an ASS (Automatic Speech Segmentation) Technique to segment spontaneous speech into syllable like units. In the development of a syllable-centric ASS system, segmentation of the acoustic signal into syllabic units is an important stage. In this paper we focus on the identifying minimum unit of speech to be considered while training any speech recognition system. There are systems developed for continuous speech recognition in few Indian languages like Hindi and Tamil. This paper gives the statistical details of syllables in Punjabi and its use in minimizing the search space during recognition of speech. In this paper we describe how most of the segmentation can be done automatically. The results are plotted for frequency of syllables and the number of syllables in each word. We propose automatic segmentation method for syllable repetition in read speech for objective assessment of stuttered disfluencies which uses a new approach and has three stages comprising of feature extraction, Rule Matching and segmentation.