5a1dba682a5eccd4f0854553c07cd2b21909f1ec,pyannote/audio/labeling/tasks/resegmentation.py,Resegmentation,_decode,#Resegmentation#Any#Any#Any#Any#,312

Before Change

                best_speaker_indices, scores.sliding_window, labels=labels)

            // revert non-speech regions back to original
            speech = hypothesis.get_timeline().support()
            new_hypothesis = new_hypothesis.crop(speech)

        else:

After Change

        if self.lock_speech:
            non_speech = current_file["non_speech"].data
            active_speakers[non_speech[:len(active_speakers)].squeeze()] = 0

        // reconstruct annotation
        new_hypothesis = one_hot_decoding(

Instances