The automatic and unconstrained segmentation of speech into subword units
Thesis (MEng)--Stellenbosch University, 2014. === ENGLISH ABSTRACT: We develop and evaluate several algorithms that segment a speech signal into subword units without using phone or orthographic transcripts. These segmentation algorithms rely on a scoring function, termed the local score, that is...
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Format: | Others |
Language: | en_ZA |
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Stellenbosch : Stellenbosch University
2014
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Online Access: | http://hdl.handle.net/10019.1/86725 |