ausblenden:
Schlagwörter:
Speaker diarization, gesturer diarization
Zusammenfassung:
We present and solve the speaker diarization problem in a novel way. We hypothesize that the gesturer is the speaker and that identifying the gesturer can be taken as identifying the active speaker. We provide evidence in support of the hypothesis from gesture literature and audio-visual synchrony
studies. We also present a vision-only diarization algorithm that relies on gestures (i.e. upper body movements). Experiments
carried out on 8.9 hours of a publicly available dataset (the AMI meeting data) show that diarization error rates as low as 15% can be achieved.
