Blind speaker identification for audio forensic purposes
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 un...
- Autores:
-
Ballesteros-Larrota, Dora Maria
Renza-Torres, Diego
Camacho-Vargas, Steven Andrés
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60407
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60407
http://bdigital.unal.edu.co/58739/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Speaker identification
cochleagram
fuzzy logic
true acceptance
false acceptance
Identificación del hablante
cocleagrama
lógica difusa
aceptación correcta
aceptación incorrecta
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | 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. |
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