Purity Algorithms for Speaker Diarization of Meetings Data

@article{Mir2006PurityAF,
  title={Purity Algorithms for Speaker Diarization of Meetings Data},
  author={Xavier Anguera Mir{\'o} and Chuck Wooters and Javier Hernando},
  journal={2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings},
  year={2006},
  volume={1},
  pages={I-I}
}
When performing speaker diarization, it is common to use an agglomerative clustering approach where the acoustic data is first split in small pieces and then pairs are merged until reaching a stopping point. When using a purely agglomerative clustering technique, one cluster cannot be split into two. Therefore, errors caused by multiple speakers being assigned to one cluster can be common. Furthermore, clusters often contain non-speech frames, creating problems when deciding which two clusters… CONTINUE READING
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