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doi: 10.34777/e480-td44
ODESSA is a speaker diarization dataset. The dataset contains 42 short conversations via VoIP, in pairs of speakers among 14 individuals. Pre-prepared scripts are given to the speakers, they will start reading their assigned roles. Each of the speakers is using a PC. The session animator is using a third PC for recording while muting himself.
biometrics, speaker recognition, speaker diarization
biometrics, speaker recognition, speaker diarization
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