Efficient Feature Vector Clustering for Automatic Speech Recognition Systems

Lazli, Lilia and Boukadoum, Mounir and Mohamed, Otmane Ait and Laskri, Mohamed-Tayeb (2017) Efficient Feature Vector Clustering for Automatic Speech Recognition Systems. In: 10th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS).

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Abstract

In this paper, we present an efficient algorithm for the clustering of speech data. The algorithm based on regulating a similarity measure to set the number of clusters and the cluster boundaries, thus overcoming the shortcomings of conventional clustering algorithms such as k-Means and Fuzzy C-Mean

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 11:03
Last Modified: 17 Apr 2026 17:10
URI: http://eprints.eai.eu/id/eprint/16655

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