GritTec's Speaker-ID: Automatic Text Independent Speaker
Identification (Version 2.800) is intended for automatic voice identification or voice verification of a speech
signal of unknown speaker by paired comparing with speech signal of target
speaker.
Designed algorithm of speaker identifications is based on duel
comparison spectra features of unknown voice with the spectra
features of target voice. Spectra features are calculated with
provision of dynamic determinations of channel distortion level and
external hindrances and noises.
It allows to compensate channel distortion and influences of
external hindrances with comparing spectra features, put into the
original speech signal.
Sensitivity to identifications is defined by the level of installing the thresholds of probability of errors 1-th
(False Rejection Rate (FRR)) and 2-th (False Acceptance Rate (FAR))
sort. Possibility of regulation of thresholds of FRR and FAR allows to adjust a process of identification flexibly in accordance with system safety requirements.
Applications
For automatic voice identification or verification of unknown voice by phonogram of telephone negotiations;
In systems with high safety level, for instance, when
access to digital information is limited by circle of given
persons;
Applications where it's necessary to identify a person using
peculiarities of his voice.
Features
Operation with low SNR;
Fast adaptation to changing of channel distortion and external
noises;
Minimum duration of a speech signal with a voice example used for correct reception of voice parameters for the target speaker - not less 30 seconds;
Minimum duration of a speech signal with a voice example used for voice identification or voice verification - not less 7 seconds;
Speaker identification reliability not less than 95% if both of speech signals were recorded in the same channel;
Speaker identification reliability not less then 90% if both of speech signals were recorded in different channels (cross channels);
Automatic voice identification or voice verification doesn't require special skills;
Easy integration with target applications.
Signal requirement
Signal format: 16-bits linear;
8 kHz sampling rate;
SNR, at least 10 db;
Frequency range: 300-3400 Hz or better.
Availability
PC demo of voice identification engine in console window for MS Windows;
GritTec's Speaker-ID: Automatic
Text
Independent Speaker Identification
