Clustering Acoustic Segments Using Multi-Stage Agglomerative Hierarchical Clustering

Agglomerative hierarchical clustering becomes infeasible when applied to large datasets due to its O(N (2)) storage requirements. We present a multi-stage agglomerative hierarchical clustering (MAHC) approach aimed at large datasets of speech segments. The algorithm is based on an iterative divide-a...

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Detalles Bibliográficos
Autores principales: Lerato, Lerato, Niesler, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627777/
https://www.ncbi.nlm.nih.gov/pubmed/26517376
http://dx.doi.org/10.1371/journal.pone.0141756

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4627777/
https://www.ncbi.nlm.nih.gov/pubmed/26517376
http://dx.doi.org/10.1371/journal.pone.0141756

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