Study on Noise-robust Bone-conducted Interface System for Support System of Marine Engine Operation
| Project/Area Number |
16560707
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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 |
Naval and maritime engineering
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| Research Institution | University of Hyogo (2005-2006)
Oshima National College of Maritime Technology (2004) |
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Principal Investigator |
ISHIMITSU Shunsuke University of Hyogo, Graduate School of Engineering, Associate Professor, 大学院工学研究科, 助教授 (70300621)
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| Project Period (FY) |
2004 – 2006
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| Project Status |
Completed (Fiscal Year 2006)
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| Budget Amount *help |
¥2,900,000 (Direct Cost: ¥2,900,000)
Fiscal Year 2006: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 2005: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 2004: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | Speech Recognition / Bone-conducted Speech / Noise / Support System / Marine Engineering / Wireless LAN / 骨導音 / 体内伝導 / 低SNR / 船舶 / 適応処理 / 適応信号処理 / 聴感評価 |
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| Research Abstract |
In recent years, speech recognition systems have been employed in vehicle instrumentation in a wide variety of environments. Speech recognition plays an important role in the chief engineering systems on ships. In this type of system, speech recognition supports the engine room controls, and lower than 0-dB signal-to-noise ratio (SNR) operability is required. In such a low SNR environment, a noise signal can be misjudged as speech, dramatically decreasing the recognition rate. Therefore, this study focuses on a recognition system that uses body-conducted signals. Since noise is not introduced within body-conducted signals that are conducted in solids, even within sites which are low SNR environments such as engine rooms, it is necessary to construct a system with a high recognition rate. However, when constructing such systems, in order to create models specialized for body-conducted speech, it is necessary to use learning data consisting of sentences that must be read numerous times. Therefore, in the present study we applied a method in which the specific nature of body-conducted speech is reflected within an existing speech recognition system with only small numbers of vocalizations. Because two of the prerequisites for operation within a site such as an engine room where noise exists are both "hands-free" and "eyes-free" operations, we also investigated the effects of making this type of system wireless.
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Report
(4 results)
Research Products
(27 results)
