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In this paper, we describe and review our recent development of hands-free speech dialogue system which is used for railway station guidance. In the application at the real railway station, robustness against reverberation and noise is the most essential issue for the dialogue system. To address the problem, we introduce two key techniques in our proposed(More)
The IEEE 802.11e is currently standardizing a MAC protocol, which provides EDCA (enhanced distributed channel access) and HCCA (HCF controlled channel access) to support differentiation service over WLAN (wireless LAN). The differentiation service provided by EDCA is achieved based on different CW (contention window) sizes. Under EDCA, realtime traffic can(More)
This work addresses the classification in topics of utterances in Japanese, received by a speech-oriented guidance system operating in a real environment. For this, we compare the performance of Support Vector Machine and PrefixSpan Boosting, against a conventional Maximum Entropy classification method. We are interested in evaluating their strength against(More)
In this paper, we propose a method to improve the speech recognition accuracy for web search utterances to a spoken dialogue system. Speech data with a dialogue system are obtained by our speech-oriented information guidance system, " Takemaru-kun " [1], which has been in operation at a public community center since November 2002. From the results of manual(More)
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