Interaction Builder : A Rapid Prototyping Tool for Developing Web-Based MMI Applications(<Special Section>Life-like Agent and its Communication)

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概要

• 論文の詳細を見る

• We have developed Interaction Builder (IB), a rapid prototyping tool for constructing web-based Multi-Modal Interaction (MMI) applications. The goal of IB is making it easy to develop MMI applications with speech recognition, life-like agents, speech synthesis, web browsing, etc. For this purpose, IB supports the following interface and functions : (1) GUI for implementing MMI systems without the details of MMI and MMI description language, (2) functionalities of handling synchronized multi-modal inputs/outputs, (3) a test run mode for run-time testing. The results of evaluation tests showed that the application development cycle using IB was significantly shortened in comparison with the time using a text editor both for MMI description language experts and for beginners.

• 社団法人電子情報通信学会の論文
• 2005-11-01

著者

• Nitta Tsuneo

  Toyohashi Univ. Technol. Toyohashi‐shi Jpn

• KATSURADA Kouichi

  Graduate School of Engineering, Toyohashi University of Technology

• KATSURADA Kouichi

  Toyohashi University of Technology

• ADACHI Hiroaki

  Toyohashi University of Technology

• SATO Kunitoshi

  Toyohashi University of Technology

• YAMADA Hirobumi

  National College of Technology

• Katsurada Kouichi

  Graduate School Of Engineering Toyohashi University Of Technology

• Sato Kunitoshi

  Toyohashi University Of Technology:(present Address)toshiba Information Systems (japan) Corporation

関連論文

• Canonicalization of Feature Parameters for Robust Speech Recognition Based on Distinctive Phonetic Feature (DPF) Vectors
• PS-ZCPA Based Feature Extraction with Auditory Masking, Modulation Enhancement and Noise Reduction for Robust ASR(Speech Recognition, Statistical Modeling for Speech Processing)
• Interaction Builder : A Rapid Prototyping Tool for Developing Web-Based MMI Applications(Life-like Agent and its Communication)
• Pitch-Synchronous Peak-Amplitude (PS-PA)-Based Feature Extraction Method for Noise-Robust ASR(Speech and Hearing)

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