書誌事項
- タイトル別名
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- Detection of Abnormal Operation Noise Using CHLAC of Sound Spectrograph and Continuous DP Matching
- CHLAC ト レンゾク DP マッチング オ モチイタ キカイ クドウイオン ノ ジドウ ケンシュツ
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It is a general way that the industrial product is tested by individual inspector. If the product involves sound factors, each inspector will evaluate the test product to sort out a strange engine noise from the natural sound. However, it is hard to cover the consistency in evaluation criteria due to the personal equation referred to the idea that every individual had an inherent bias, plus a physical and mental conditions can be a negative effect on his/her evaluation criteria. It would be ideal if the criteria would not be affected by anyone, anywhere, circumstances; accordingly the quality of products must be equated. In this paper, we propose a noise detection method based on Cubic Higher-order Local Auto-Correlation (CHLAC) scheme and DP Matching provided by Cepstrum Analysis to extract the correct solution. This technique is practically used for detecting any human abnormal movements out of a monitored video clip and identifying individual persons by voice. The study results are shown to be highly effective in our proposed method.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 131 (2), 367-374, 2011
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204608939776
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- NII論文ID
- 10027803972
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 10952925
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
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- 使用不可