FIELD: automatic voice recognition technologies.
SUBSTANCE: acoustic signal, observed at a point of person body, unknown to unauthorized personnel, is inputted to computing device, values of parameters of acoustic signal are determined, values of estimates of statistical characteristics of parameters of acoustic signal are determined and standards are formed on basis of these, grade of difference between acoustic signal and standards is determined, on basis of aforementioned grade decision is taken whether acoustic signal belongs to person, whose values of statistical characteristics were used during forming of standards.
EFFECT: higher resistance to interference, higher efficiency, higher trustworthiness.
6 dwg
Title | Year | Author | Number |
---|---|---|---|
AUTOMATIC PERSON IDENTIFICATION METHOD | 1998 |
|
RU2161826C2 |
METHOD FOR CONTACT-DIFFERENCE ACOUSTIC PERSONAL IDENTIFICATION | 2011 |
|
RU2451346C1 |
METHOD AND DEVICE FOR IDENTITY VERIFICATION USING VOICE | 2008 |
|
RU2399102C2 |
METHOD OF VERIFYING IDENTITY FROM VOICE BASED ON HUMAN ANATOMICAL PARAMETERS | 2010 |
|
RU2421699C1 |
METHOD FOR AUDIOVISUAL RECOGNITION OF PERSONAL PROTECTION EQUIPMENT ON HUMAN FACE | 2022 |
|
RU2791415C1 |
0 |
|
SU516094A1 | |
METHOD OF RECOGNITION OF SEPARATE WORDS OF SPEECH WITH ADAPTATION TO ANNOUNCER | 1994 |
|
RU2047912C1 |
METHOD OF IDENTIFICATION OF ANNOUNCER AND DEVICE FOR ITS REALIZATION | 2002 |
|
RU2230375C2 |
METHOD FOR RECOGNIZING SPOKEN CONTROL COMMANDS | 2003 |
|
RU2271578C2 |
METHOD FOR HYBRID GENERATIVE-DISCRIMINATIVE SEGMENTATION OF SPEAKERS IN AUDIO-FLOW | 2013 |
|
RU2530314C1 |
Authors
Dates
2005-10-27—Published
2003-12-11—Filed