Segmentation and Classification of Vowel Phonemes of
Assamese Speech Using a Hybrid Neural Framework

<div class="floats-full-page floats-full-page-other"><h2>Table 3</h2><div class="floats-full-page-caption">DWT versus SOM segmentation success rate.</div><div class="floats-full-page-content"><table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr class="thead"><td align="left">Sl No</td><td align="center"> Segmentation technique</td><td align="center">Success rate </td></tr><tr><td class="thead-hr" colspan="3"><hr /></td></tr><tr><td align="left">(1)</td><td align="center"> DWT</td><td align="center"> 89.6%</td></tr><tr><td align="left">(2)</td><td align="center"> SOM</td><td align="center"> 96.27%</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 3 | Segmentation and Classification of Vowel Phonemes of
Assamese Speech Using a Hybrid Neural Framework

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Table 3: Segmentation and Classification of Vowel Phonemes of
Assamese Speech Using a Hybrid Neural Framework

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Table 3

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Segmentation and Classification of Vowel Phonemes of Assamese Speech Using a Hybrid Neural Framework

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