Language Recognition Using Latent Dynamic Conditional Random Field Model with Phonological Features

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left">Attribute</td><td align="center"><svg height="11.175" id="M144" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 10.9375 11.175" width="10.9375" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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t-10.5 -39.5l-43 -241q37 -13 83 -13q67 0 125.5 45t58.5 129z" id="x1D443"></path></g>
</svg> value</td><td align="center"><svg height="11.175" id="M145" style="vertical-align:-0.0pt" version="1.1" viewbox="0 0 10.7 11.175" width="10.7" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<g transform="matrix(.017,-0,0,-.017,.062,11.113)"><path d="M599 650l-18 -160l-30 -2q-2 70 -11 94q-5 16 -26 24t-75 8h-94q-27 0 -33.5 -6.5t-12.5 -32.5l-43 -226h108q52 0 72.5 5t31 18t28.5 52h28l-40 -200h-28q-1 42 -6 56.5t-24.5 21t-70.5 6.5h-108l-32 -177q-13 -65 1 -80.5t88 -22.5l-8 -28h-279l6 28q61 5 77.5 20.5
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</svg>-ratio</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">PF </td><td align="center">0</td><td align="center">1425.43</td></tr><tr><td align="left">MFCC</td><td align="center">0</td><td align="center">22.63</td></tr><tr><td align="left">PLP</td><td align="center">1</td><td align="center">0.11</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

MANOVA of language classification using MFCC, PLP, and PF attributes.

Mathematical Problems in Engineering

tab4

Table 4

Table 4: Language Recognition Using Latent Dynamic Conditional Random Field Model with Phonological Features 