Developments of Machine Learning Schemes for Dynamic Time-Wrapping-Based Speech Recognition

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Index of keywords</td><td align="center">Recognition rates </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Index 1</td><td align="center">100%</td></tr><tr><td align="left">Index 2</td><td align="center">100%</td></tr><tr><td align="left">Index 3</td><td align="center">100%</td></tr><tr><td align="left">Index 4</td><td align="center">100%</td></tr><tr><td align="left">Index 5</td><td align="center">100%</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Recognition performances of inside testing DTW speech recognition.

Mathematical Problems in Engineering

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Table 2

Table 2: Developments of Machine Learning Schemes for Dynamic Time-Wrapping-Based Speech Recognition 