A multilingual Automatic Speech Recognition (ASR) engine embedded on Personal Digital Assistant (PDA)

Hong Wen Sie*, Dau Cheng Lyu, Zhong Ing Liou, Ren Yuan Lyu, Yuang Chin Chiang

*此作品的通信作者

研究成果: 會議稿件的類型論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

In the paper, we describe a multilingual ASR engine embedded on PDA. Our ASR can support multiple languages including Mandarin, Taiwanese and English simultaneously based on a unified three-layer framework, and a one-stage searching strategy. In the framework, there is a unified acoustic models for all the considered languages, a multiple pronunciation lexicon and a searching network, whose nodes represent the Chinese characters and English syllables with their multiple pronunciations. Under the architecture the system can not only reduce its memory and computational complexity but also deal with the issues about a character with multiple pronunciations. In general, the computer resource of PDA is quite limited when compared to PC. In this paper, much work has been done to alleviate the limitation of PDA. The experimental results show the system has good performance where the recognition rate achieves about 90% in the voiced command task with limited vocabulary.

原文英語
頁面174-177
頁數4
出版狀態已出版 - 2005
事件9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, 台灣
持續時間: 28 05 200530 05 2005

Conference

Conference9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
國家/地區台灣
城市Hsinchu
期間28/05/0530/05/05

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