METHODS AND SERVERS FOR TRAINING MODEL TO DETECT SPEAKER CHANGE Russian patent published in 2025 - IPC G06N3/08 G10L17/04 G10L15/02 

FIELD: computer engineering.

SUBSTANCE: result is achieved by the following steps: obtaining a data set for training punctuation, comprising first input data including audio data and text data representing speech, and a first label including a sequence of control tokens, training the model using the punctuation training data set to form the trained punctuation model, obtaining the data set for the speaker changing training data, containing the second input data including the second audio data and the second text data, and a second label including a second sequence of control tokens, additional training of the trained punctuation model using the data set for training a speaker change, forming a speaker change model, obtaining working text data and corresponding working audio data, and generating a second working sequence of tokens based on the working audio data and the working text data using the speaker change model.

EFFECT: high accuracy of speech recognition and speaker diarization.

16 cl, 6 dwg