This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
Currently in the demo we use a greedy method to compute sequence match accuracy. It's just an approximation, as an estimation of how well the predicted sequence matches the ground truth.
The correct way should be using Hungarian algorithm to compute the optimal match, which is more meaningful.
Currently in the demo we use a greedy method to compute sequence match accuracy. It's just an approximation, as an estimation of how well the predicted sequence matches the ground truth.
The correct way should be using Hungarian algorithm to compute the optimal match, which is more meaningful.