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Datei-Informationen

Dateigröße
16,890,756 Bytes
MD5
dc37694c4611425f2336d4c27ed6418f

Projektbeschreibung

TranscriberAG is designed for assisting the manual annotation of speech signals. It provides a user-friendly GUI for segmenting long duration speech recordings, transcribing them, labeling speech turns, topic changes and acoustic conditions.