Blind speaker identification for audio forensic purposes
Abstract This paper presents a blind method for speaker identification for audio forensics purposes. It is based on a decision system with fuzzy rules and works with the correlation between the cochleagrams of the audio proof and of the audios of the suspects. Our proposed system can give a null output, a unique selected suspect or a group of identified suspects. According to several tests, our Overall Accuracy (OA) is 0.97 with agreement (κappa index, κ) of 0.75. Additionally, unlike typical systems in which a low false acceptance (FP) implies high false rejection (FN), our system can work simultaneously with FN and FP equal to zero (i.e. OA=1; κ=1). Finally, our system works with blind identification, it means, without preliminary knowledge of the audio recordings or a training step; an imperative characteristic for audio forensics.
| Principais autores: | , , |
|---|---|
| Formato: | Digital revista |
| Idioma: | English |
| Publicado em: |
Universidad Nacional de Colombia
2017
|
| Acesso em linha: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532017000200259 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|