Abstract
This chapter provides a description of the proposed SOM-based segmentation technique and explains how it can be used to segment the initial phoneme from some CVC-type Assamese word. In Sect. 6.3, the SOM and PNN have been explained in a more relevant way, as they are used as parts of the technique. The work provides a comparison of the proposed SOM-based technique with the conventional DWT-based speech segmentation technique. Therefore, some experimental works are carried out to perform the DWT-based phoneme segmentation. The theoretical details of DWT-based technique are explained in Sect. 6.4. In Sect. 6.5, algorithms associated with the proposed segmentation technique are explained along with the experimental details. Result and discussions are included in the Sect. 6.6. Section 6.7 concludes the chapter.
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Sarma, M., Sarma, K.K. (2014). Phoneme Segmentation Technique Using Self-Organizing Map (SOM). In: Phoneme-Based Speech Segmentation using Hybrid Soft Computing Framework. Studies in Computational Intelligence, vol 550. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1862-3_6
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DOI: https://doi.org/10.1007/978-81-322-1862-3_6
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