| Budget Amount *help |
¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Outline of Final Research Achievements |
For multi-modal speech recognition that uses speech signals and lip images, this research aimed at development of method optimization according to tasks and environments. Effectiveness of incorporating several basic features and applying deep-learning techniques, the optimal architecture of audio-visual integration in addition to effectiveness of stochastic model combination, and improvement of model adaptation were clarified. A robust and high-performance multi-modal speech recognition method was thus developed. The method was applied in various tasks and environments, then recognition improvement was observed and future works were also found.
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