This paper proposes a new fuzzy approach for automatic segmentation of normal and pathological brain MRI volumetric data sets. MRI is generally useful for brain tumor deduction because it provide more detailed information about its type, position, size. Brain tumor segmentation is the separation of different tumor tissues from normal brain tissue. In automatic brain segmentation MRI is a sophis...

This paper presents a novel framework for HMM-based automatic phonetic segmentation that improves the accuracy of placing phone boundaries. In the framework, both training and segmentation approaches are proposed according to the minimum boundary error (MBE) criterion, which tries to minimize the expected boundary errors over a set of possible phonetic alignments. This framework is inspired by ...

Automatic segmentation of cell nuclei is an essential task in a variety of biomedical applications. However, performance is variable, being typically around 95% correct detection of nuclei depending on the degree of clustering. Furthermore, work to assess and optimize the segmentation accuracy of each nucleus is in its infancy. In this study we developed an algorithm intended for segmentation o...

Automatic music structure analysis or song segmentation has immediate applications in the field of music information retrieval. Among these applications is active music navigation, automatic generation of audio summaries, automatic music analysis, etc. One of the important aspects of a song segmentation task is its evaluation. Commonly, that implies comparing the automatically estimated segment...

Automatic speech segmentation is an essential tool for building large corpora for training continuous speech recognition systems. Manual segmentation of speech is both time consuming and an error-prone task. Several automatic segmentation systems have been proposed based on the acoustical features of the speech 5] 11]. In this paper, we present a novel technique for automatic seg-mentation of A...

This paper describes the best method for automatic segmentation of Punjabi speech. Punjabi is one the most widely used language. Consequently, Punjabi is a syllabic language, so syllables are found to be the best units for the preparation of speech database. Further the automatic segmentation of speech is proved to be the better approach than the manual segmentation. The basic characteristics o...