@article{oai:nagoya.repo.nii.ac.jp:00013503, author = {原, 直 and 河口, 信夫 and 武田, 一哉 and 板倉, 文忠 and HARA, Sunao and KAWAGUCHI, Nobuo and TAKEDA, Kazuya and ITAKURA, Fumitada}, issue = {14}, journal = {情報処理学会研究報告}, month = {Feb}, note = {携帯情報端末(PDA)での音声認識の研究を進めるために,汎用音声認識エンジンJulius/JulianをPDA上に移植し,その性能評価を行った.その結果,孤立単語音声認識では,Linux上で動作させた場合に比べて認織率はわずかに低下するが,PDAで実時間の約1.9倍で90%の認識率を得ることができた.連続数字音声認識ではPDAで収録した音声で学習することにより,約99%の認識率を得た., 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., 情報処理学会研究報告音声言語情報処理;2003-SLP-45-22}, pages = {131--136}, title = {汎用音声認識エンジンJulius/JulianのPDAへの移植と性能評価}, volume = {2003}, year = {2003} }