Problems of Forensic Sciences 2001 Vol. 47 (XLVII) 246-253
IDENTIVOX©: A PC-WINDOWSTM TOOL FOR TEXT-INDEPENDENT SPEAKER RECOGNITION IN FORENSIC ENVIRONMENTS
Joaquín GONZALEZ-RODRIGUEZ1, Javier ORTEGA-GARCIA1, J. J. LUCENA-MOLINA2
1Speech and Signal Processing Group, Department of Audio-Visual and Communication Engineering, Technical University, Madrid, Spain
2Laboratorio de Acustica e Imagen, Servicio de Policia Judicial, Direccion General de la Guardia Civil, Madrid, Spain
Streszczenie
A state-of-the-art Gaussian-Mixture-Modelling (GMM) text-independent speaker recognition system has been developed. The system, perfectly suited to the Bayesian approach for Forensic Speaker Recognition, works in a user-friendly platform (Win95/98/NT/2000/Me) in a fully user-configurable environment. Speaker modelling, identification and verification are the main functions of the system. The system optionally performs channel normalisation and/or likelihood normalisation, the latter through a Universal Background Model. The work of the system user is organised in sessions (files), where the user can configure, save, open, and print reports for each individual session. User-selected speech audio files, parameterised into LPCC or MFCC, are used to train the speaker models, and test speech segments are evaluated against the selected set of candidates (identification) or against a claimed model (verification). Some excellent results are provided with different speech databases. A free English-demo version for evaluation of the system is available to forensic and research instituteswriting to
Słowa kluczowe
Voice identification; Speaker recognition; Forensic acoustics.