PRODUCTS
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 GritTec's Text
Independent Speaker Identification
Overview
Automatic text independent speaker identification system is intended for automatic identification of a speech signal of unknown voice by comparing with "speaker cards", existing in the database of system.
"Speaker card" means the structure of data, containing complete information about the given speaker
(first and last name, births date, sex and etc) and its individual particularities of voice,
including samples of sound files with its voice.
Applications
- For automatic voice identification 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.
Designed algorithm of voice identifications is based on duel comparison spectra features of unknown speaker with the features of speaker card from the database system.
Spectra features are calculated with provision of dynamic determinations of channel distortion level and external
hindrances. 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.
Features
- Operated with low SNR;
- Fast adaptation to changing of channel distortion and external
noises;
- Speaker identification reliability not less than 91% if both of speech
signals were recorded in the same channel and duration of input signal
was not less than 15 seconds;
- Speaker identification reliability not less then 85% if both of speech signals
were recorded in different channels and duration of input signal
was not less than 15 seconds;
- Database client software;
- Automatic identification 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 for MS Windows;
- SDK for win32 (C++ float point code) is available on request.
For more information, please contact us via Online Request Form.
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