| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Outline of Final Research Achievements |
We investigated and developed elemental technologies for indexing and other related processes which are designed to permit efficient and sustainable development of spoken document retrieval systems. For dealing with a possible change in speech features regarding to the recording conditions and speakers, we proposed DNN-based voice activity detection (VAD) and dereverberation models as a frontend of speaker diarization and speech recognition systems and improved accuracy for those systems. Also, we proposed DNN-based feature transformation as a rescoring step of spoken term detection (STD) system for coping with out-of-vocabulary words and the STD performance has been significantly improved.
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