Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System

<div class="floats-full-page floats-full-page-other"><h2>Table 3</h2><div class="floats-full-page-caption">Recognition results for different parts of the proposed algorithm.</div><div class="floats-full-page-content"><table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr class="thead"><td align="left"> </td><td align="center">Clean</td><td align="center">Avg 0–20</td><td align="center">−5</td></tr><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr><td align="left">CMVN</td><td align="center">99.32</td><td align="center"><b>77.78</b></td><td align="center">13.90</td></tr><tr><td align="left">LPS</td><td align="center">99.47</td><td align="center"><b>73.07</b></td><td align="center">12.92</td></tr><tr><td align="left">LPS + CMVN</td><td align="center">99.07</td><td align="center"><b>83.30</b></td><td align="center">20.78</td></tr><tr><td align="left" colspan="4"><hr /></td></tr><tr><td align="left">Newton</td><td align="center">99.20</td><td align="center"><b>83.83</b></td><td align="center">25.65</td></tr><tr><td align="left">Newton + CMVN</td><td align="center">99.25</td><td align="center"><b>84.96</b></td><td align="center">27.78</td></tr><tr><td align="left">NLPS ( Newton + LPS + CMVN )</td><td align="center"><i>99.08 </i></td><td align="center"><b><i>85.76 </i></b></td><td align="center"><i>27.85 </i></td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 3 | Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System

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Table 3: Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System

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Table 3

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Direct Recovery of Clean Speech Using a Hybrid Noise Suppression Algorithm for Robust Speech Recognition System

Table 3