The proposed acquisition is to purchase Easy Voice Biometrics software that is used for voice
identification and analysis. The Easy Voice Biometrics product is designed for Law Enforcement
Agencies to perform the following tasks:
1. Facilitating voice expert identification analysis in the performance of multi -target
forensic audio investigation by eliminating imposters and ranging the top-in-the list
speakers according to the biometric traits likelihood probability.
2. Express attribution of the investigated speakers voices by the proximity degree.
3. The product is designed to assist in two ways:- For multi-target voice analysis cases to
arrange the speakers by match probability.
4. 1 vs 1 comparison
5. Easy Voice Biometrics uses a total variability method; the following steps are applied
for comparison using this method: Speaker's voice model calculation.
6. On that stage, there are MFCC (Mel Fourier Cepstrum Coefficients, cepstral
coefficient by Mel scale) speeches features calculated- the features, describing spectral
representation of speech signal in different moments. Density of identification features
distribution is modeled by using of GMM. Using the specifically adapted factor
analysis, the feature of GMM-model are represented as an 1-vector of small dimension
in the space of "total variability", which includes subspaces of" own channels" and
"own voices", which are used in JF A (Joint Factor Analysis Distinctive feature of such
GMM-model representation is its high self-descriptiveness and small data size.
7. Making the decision about the identification, on stage ofl-vectors comparison the
SVM-classifier is used, which provides high speed and good quality of identification.
By the resulting SVM distance, there are FR/F A errors calculated)