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汎用音声認識エンジンJulius/JulianのPDAへの移植と性能評価

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  • ハンヨウ オンセイ ニンシキ エンジン Julius Julian ノ PDA エ ノ イショク ト セイノウ ヒョウカ
  • Implementation and evaluation of Julius/Julian on the PDA environment

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Abstract

In order to develop an open source platform of the speech recognition on Personal Digital Assistant (PDA), a general-purpose speech recognition engine Julius/Julian is ported to the PDA environment. From the experimental evaluations the following results are obtained. In die isolated word recognition, 90% accuracy is obtained by about 1.9 times of real time, that in about 73 times to a standard PC environment. In the connected digit recognition, 99% word accuracy is obtained using HMMs trained by sentences recorded by PDA.

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