@conference{482, keywords = {Speaker Diarisation, Unsupervised Fine-Tuning, Domain Adaptation}, author = {Lucas Van Wyk and Marelie Davel and Charl Van Heerden}, title = {Unsupervised fine-tuning of speaker diarisation pipelines using silhouette coefficients}, abstract = {We investigate the use of silhouette coefficients in cluster analysis for speaker diarisation, with the dual purpose of unsupervised fine-tuning during domain adaptation and determining the number of speakers in an audio file. Our main contribution is to demonstrate the use of silhouette coefficients to perform per-file domain adaptation, which we show to deliver an improvement over per-corpus domain adaptation. Secondly, we show that this method of silhouette-based cluster analysis can be used to accurately determine more than one hyperparameter at the same time. Finally, we propose a novel method for calculating the silhouette coefficient of clusters using a PLDA score matrix as input. }, year = {2021}, journal = {Southern African Conference for Artificial Intelligence Research}, chapter = {202 - 216}, month = {06/12/2021 - 10/12/2021}, address = {South Africa}, isbn = {978-0-620-94410-6}, url = {https://2021.sacair.org.za/proceedings/}, }