GAUSSIAN MIXTURE MODEL BASED SPEAKER RECOGNITION SYSTEM AND THE SELECTION METHOD OF ADDITIONAL TRAINING UTTERANCE

摘要

The present invention relates to a speaker recognition system and a method for selecting additional training utterance to complement a speaker model in the speaker recognition system. The speaker recognition system to identify if a speaker is a pre-registered user by using a voice signal received from the speaker, comprises: a voice reception unit for receiving a voice signal from the speaker; a pre-treatment unit for extracting a frequency property from the received voice signal; a speaker recognition unit for identifying if the speaker is a pre-registered user by using the frequency property; and a control unit for controlling operations of the voice reception unit, the pre-treatment unit and the speaker recognition unit. The control unit: generates a first user model including a first frequency property extracted from a first voice signal of the pre-registered user in order to identify if a speaker is a pre-registered user; controls the generated first user model to be stored in a database; controls the voice reception unit to receive a second voice signal; controls the pre-treatment unit to extract a second frequency property from the received second voice signal; controls the speaker recognition unit to identify if the speaker is a pre-registered user according to whether the first frequency property included in the first user model matches the second frequency property; and updates the first user model by using a received third voice signal, if the voice reception unit receives the third voice signal from the pre-registered user.