Proceedings. Fourth IEEE International Conference on Multimodal Interfaces
DOI: 10.1109/icmi.2002.1166995
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An automatic speech translation system on PDAs for travel conversation

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Cited by 15 publications
(7 citation statements)
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“…The second is to evaluate total performance, including the users' subjective opinions. As performance has been evaluated using different application systems, such as an automatic speech translation system (Isotani, et al, 2002) and a speechactivated text retrieval system (Ikeda, et al, 2005), we concentrated on evaluating the total performance based on surveying users' opinions about the blogs they created using the developed system. The survey results were analyzed in terms of speech recognition accuracy and users' blog making experience to improve the system.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The second is to evaluate total performance, including the users' subjective opinions. As performance has been evaluated using different application systems, such as an automatic speech translation system (Isotani, et al, 2002) and a speechactivated text retrieval system (Ikeda, et al, 2005), we concentrated on evaluating the total performance based on surveying users' opinions about the blogs they created using the developed system. The survey results were analyzed in terms of speech recognition accuracy and users' blog making experience to improve the system.…”
Section: Discussionmentioning
confidence: 99%
“…To solve this problem, we used a compact and scalable large-vocabulary continuous speech recognition framework, which has been shown to work on low-power devices, such as PDAs (Isotani et al,2005). The framework achieves compact and high-speed processing by the following techniques: -Efficient reduction of Gaussian components using MDL criterion (Shinoda, et al, 2002) -High-speed likelihood calculation using treestructured probability density functions (Watanabe, et al, 1995) -Compaction of search algorithm using lexical prefix tree and shared usage of calculated language model scores (Isotani et al, 2005) The framework we developed contained a Japanese lexicon of 50,000 words typically used in travel conversations based on a speech translation system (Isotani, et al, 2002). We were able to evaluate the developed system by making a travel blog using Japanese dialogue with PaPeRo.…”
Section: Continuous Speech Recognitionmentioning
confidence: 99%
“…Speech translation systems, which are realized by integrating speech recognition, machine translation and text-tospeech synthesis, have already been investigated [1][2][3]. And some systems have been built on handheld devices [4,5]. However, speech translation systems encounter two problems, namely, recognition error and translation error [6].…”
Section: Introductionmentioning
confidence: 99%
“…Projects concerning speech translation such as TC-STAR (Hoge, 2002) and DARPA Babylon have been executed, and conferences on spoken language translation such as IWSLT have been held. Though some speech translation systems have been developed so far (Frederking et al, 2002;Isotani et al, 2003;Liu et al, 2003;Takezawa et al, 1998), these systems, because of their sentence-by-sentence translation, cannot start to translate a sentence until it has been fully uttered. The following problems may arise in cross-language communication:…”
Section: Introductionmentioning
confidence: 99%