Abstract
This chapter explores the application possibility of the SOM-based phoneme segmentation technique in the field of isolated spoken word recognition. A hybrid framework is designed using RNN, PNN, and LVQ to recognize consonant–vowel–consonant (CVC)-type Assamese words.
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Sarma, M., Sarma, K.K. (2014). Application of Phoneme Segmentation Technique in Spoken Word Recognition. 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_7
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DOI: https://doi.org/10.1007/978-81-322-1862-3_7
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