Developping a system for dialog support to the hard of hearing via speech recognition and character display
| Project/Area Number |
18500127
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kanazawa University |
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Principal Investigator |
FUNADA Tetsuo Kanazawa University, Graduate School of Natural Science and Technology, Professor (40019766)
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| Co-Investigator(Kenkyū-buntansha) |
NOMURA Hideyuki Kanazawa University, Graduate School of Natural Science and Technology, Assistant Professor (90334763)
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| Project Period (FY) |
2006 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥1,280,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥180,000)
Fiscal Year 2007: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2006: ¥500,000 (Direct Cost: ¥500,000)
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| Keywords | the hard of hearing / dialog support system / speech recognition / noisy environment / reliability |
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| Research Abstract |
This research is to develop a dialog support system for persons such as age-related hearing loss via speech recognition and character display. For this purpose, the system is expected to be small and light. At the beginning of this research, we intended to design the system with combining custom ISI and micro-displays. However since mobile computers with a built-in microphone recently have come onto the market, we changed to implement the system on a mobile computer.
At the beginning in 2006, the system was designed to recognize only the pre-registered words, so it shows inconvenience that unregistered words cannot be recognized. Therefore, we improved the system by making it recognize all Japanese 101 syllables (kana). In this case, dialog partner has to speak syllable by syllable and the system display the recognized syllables one after another. It has also inconvenience that the system can display contents of dining by a sequence of only kana character so difficult to read fir the haul of hearing.
In 2007, we improved the system in the following three points. The first is to decrease recognition error by incorporating new algorithm to extract noise-robust speech feature proposed by us. The second is to incorporate the "kana to Chinese character conversion" in the system, the command of which is also ordered by speech The third is to make the system display the ascend candidate of recognition, and can select the second one in case of mis-recognition of the first candidate. This selection command is also acceptable by speech. By making the system be possible to operate only by speech command, it has become convenient to use.
Further improvement is desired in recognition speed and recognition error.
Parts of these results have been presented at technical committee on speech of Acoustic Society of Japan and the Institute of Electronics, Intimation and Communication Engineers, and International Workshop on Communication and Information Technologies (ICSIT07).
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Report
(3 results)
Research Products
(14 results)
