FIELD: information technologies.
SUBSTANCE: method includes reception of a sound response by means of a processor from a call destination and processing of a sound response by means of a voice recogniser, having a language model to convert a sound response into a conclusion, which specifies the recognised speech in text form; and processing of a conclusion specifying the recognised speech, in text form, with a statistic classifier adjusted by verbal phrases, usually used by real people and automatic systems, together with establishment of non-verbal features associated with a sound response to provide a conclusion that specifies whether a call destination is a real person or a telephone answering machine. The classifier is separate from a language model. Processing is based on a statistical analysis of the conclusion that specifies the recognised speech in text form together with non-verbal features. Statistic analysis verifies the conclusion content, which specifies the recognised speech, and based on this inspection it determines whether the conclusion specifying the recognised speech is more statistically consistent with verbal phases that are usually used by real people or automatic systems.
EFFECT: improved accuracy of telephone answering machine detection.
18 cl, 6 dwg
