과학수사용 화자 식별 시스템의 피치 차이에 따른 신뢰성 척도
Confidence Measure of Forensic Speaker Identification System According to Pitch Variances
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초록
Forensic speaker identification needs high accuracy and reliability. However, the current level of speaker identification does not reach its demand. Therefore, the confidence evaluation of results is one of the issues in forensic speaker identification. In this paper, we propose a new confidence measure of forensic speaker identification system. This is based on pitch differences between the registered utterances of the identified speaker and the test utterance. In the experiments, we evaluate this confidence measure by speech identification tasks on various environments. As the results, the proposed measure can be a good measure indicating if the result is reliable or not.
Abstract
Forensic speaker identification needs high accuracy and reliability. However, the current level of speaker identification does not reach its demand. Therefore, the confidence evaluation of results is one of the issues in forensic speaker identification. In this paper, we propose a new confidence measure of forensic speaker identification system. This is based on pitch differences between the registered utterances of the identified speaker and the test utterance. In the experiments, we evaluate this confidence measure by speech identification tasks on various environments. As the results, the proposed measure can be a good measure indicating if the result is reliable or not.
참고문헌 (10)
- Campbell, J., "Forensic speaker recognition", Signal Processing Magazine, 26(2009), pp.95~103 (2009), IEEE
- Dehak, N, "Support vector machines and joint factor analysis for speaker verification", ICASSP 2009, pp.4237~4240 (2009)
- Duda, H., "Pattern classification" (2001), John Wiley & Sons
- 김경화, "신체 스트레스와 개인 내부 음성 및 발화 변이", 박사, pp.2007
- Kim, M.-S., "Kernel multimodal discriminant analysis for speaker verification", ICASSP 2010, pp.4498~4501 (2010)
- Reynolds, D., "Speaker identification and verification using gaussian mixture speaker models", Speech Communication, 17(1), pp.91~108 (1995)
- Reynolds, D., "Speaker verification using adapted gaussian mixture models", Digital signal processing, 10(1), pp.19~41 (2000)
- Takiguchi, T., "Robust feature extraction using kernel pca", ICASSP 2006, pp.509~512 (2006)
- Thyes, O., "Speaker identification and verification using eigenvoices", ICSLP 2000, pp.242~245 (2000)
- Wan, V., "Support vector machines for speaker verification and identification", Neural Networks for Signal Processing X, pp.775~784 (2000)