Publication Details

Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge

DIEZ Sánchez Mireia, BURGET Lukáš, LANDINI Federico Nicolás, WANG Shuai and ČERNOCKÝ Jan. Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. In: Proceedings of ICASSP 2020. Barcelona: IEEE Signal Processing Society, 2020, pp. 6519-6523. ISBN 978-1-5090-6631-5. Available from: https://ieeexplore.ieee.org/document/9053982
Czech title
Optimalizace bayesovského shlukování x-vektorů založených na HMM pro druhou soutěž DIHARD v diarizaci řeči
Type
conference paper
Language
english
Authors
Diez Sánchez Mireia, M.Sc., Ph.D. (DCGM FIT BUT)
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT)
Landini Federico Nicolás (DCGM FIT BUT)
Wang Shuai (DCGM FIT BUT)
Černocký Jan, doc. Dr. Ing. (DCGM FIT BUT)
URL
Keywords

Speaker Diarization, Variational Bayes, HMM, x-vector, DIHARD

Abstract

This paper presents an analysis of our diarization system winning the second DIHARD speech diarization challenge, track 1. This system is based on clustering x-vector speaker embeddings extracted every 0.25s from short segments of the input recording. In this paper, we focus on the two x-vector clustering methods employed, namely Agglomerative Hierarchical Clustering followed by a clustering based on Bayesian Hidden Markov Model (BHMM). Even though the system submitted to the challenge had further post-processing steps, we will show that using this BHMM solely is enough to achieve the best performance in the challenge. The analysis will show improvements achieved by optimizing individual processing steps, including a simple procedure to effectively perform "domain adaptation" by Probabilistic Linear Discriminant Analysis model interpolation. All experiments are performed in the DIHARD II evaluation framework.

Published
2020
Pages
6519-6523
Proceedings
Proceedings of ICASSP 2020
Conference
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), Barcelona, ES
ISBN
978-1-5090-6631-5
Publisher
IEEE Signal Processing Society
Place
Barcelona, ES
DOI
BibTeX
@INPROCEEDINGS{FITPUB12282,
   author = "Mireia S\'{a}nchez Diez and Luk\'{a}\v{s} Burget and Nicol\'{a}s Federico Landini and Shuai Wang and Jan \v{C}ernock\'{y}",
   title = "Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge",
   pages = "6519--6523",
   booktitle = "Proceedings of ICASSP 2020",
   year = 2020,
   location = "Barcelona, ES",
   publisher = "IEEE Signal Processing Society",
   ISBN = "978-1-5090-6631-5",
   doi = "10.1109/ICASSP40776.2020.9053982",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12282"
}
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