4d0dc3496c221c4b1ec77fe15cb304fdc5fd800c,pyannote/audio/embedding/generators.py,SpeechSegmentGenerator,__init__,#SpeechSegmentGenerator#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,68

Before Change

        self.weighted_ = True

        self._load_metadata(protocol, subset=subset)

    def _load_metadata(self, protocol, subset="train"):

        self.data_ = {}

After Change

                if key in ["annotation", "annotated", "audio", "duration"]:
                    continue
                if key not in file_labels:
                    file_labels[key] = set()
                file_labels[key].add(current_file[key])

            // get annotation for current file
            annotation = current_file["annotation"]

            if self.in_memory:
                current_file["waveform"] = \
                    self.feature_extraction(current_file).data

            // loop on each label in current file
            for label in annotation.labels():

                // get all segments with current label
                timeline = annotation.label_timeline(label)

Instances