Speaker classification using residence information based probabilistic model

2017 Fiscal Year Final Research Report

• Project/Area Number: 26350466
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Social systems engineering/Safety system
• Research Institution: National Research Institute of Police Science
• Principal Investigator: KAMADA Toshiaki 科学警察研究所, 法科学第四部, 室長 (10356173)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 音声情報処理 / 話者分類 / 法科学

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.

Free Research Field

人間情報学