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HMM topology for boundary refinement in automatic speech segmentation
Date
2010-07-22
Author
Akdemir, E.
Çiloğlu, Tolga
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A boundary refinement method using a new hidden Markov model (HMM) topology is proposed for automatic phonetic speech segmentation. The proposed method has the ability to work at high frame rates and the training and boundary refinement stages are easy and fast. The method is data driven and can be adapted to any speech segmentation problem provided that a training set is available. Given an initial segmentation obtained by forced alignment using an HMM based phone recogniser, 20% decrease in boundary errors is achieved.
Subject Keywords
Electrical and Electronic Engineering
URI
https://hdl.handle.net/11511/36902
Journal
ELECTRONICS LETTERS
DOI
https://doi.org/10.1049/el.2010.1390
Collections
Department of Electrical and Electronics Engineering, Article
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E. Akdemir and T. Çiloğlu, “HMM topology for boundary refinement in automatic speech segmentation,”
ELECTRONICS LETTERS
, pp. 1086–1087, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36902.