Machine learning video classification challange

Konkurrence Instruktioner

This is a speaker classification task that aims to solve the problem of recognizing the speaker from an audio segment. The audio segment is supposed to have been already cleaned of background noise and music and contains only a single speaker. We will provide a dataset of audio files that is labeled with the speaker in question in the filename, this can be used as the training set.
You can use any methodology as you see fit outside our requirements.
Basic requirements:
outcome needs to
be a Python script
provide a codebase that allows us to reproduce your results + the prediction output to evaluate the model performance

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“Good to work with him”

Profilbillede BDAKFT, Hungary.

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