Speaker classification using residence information based probabilistic model
| Project/Area Number |
26350466
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | National Research Institute of Police Science |
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Principal Investigator |
KAMADA Toshiaki 科学警察研究所, 法科学第四部, 室長 (10356173)
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| Project Period (FY) |
2014-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 音声情報処理 / 話者分類 / 法科学 |
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| Outline of Final Research Achievements |
This study aimed to extract of residence information of speakers using speech features originating in vocal tract resonance, and local classification of speakers. We extracted the features which made residence information distance between speakers acquired by cepstrum, and speaker distribution showed the possibility of the classification by residence information of speakers.
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Report
(5 results)
Research Products
(3 results)
