Unsupervised Lexicon Discovery from Acoustic Input
We present a model of unsupervised phonological lexicon discovery -- the problem of simultaneously learning phoneme-like and word-like units from acoustic input. Our model builds on earlier models of unsupervised phone-like unit discovery from acoustic data (Lee and Glass, 2012), and unsupervised sy...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computational Linguistics
2015
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| Online Access: | http://hdl.handle.net/1721.1/98523 https://orcid.org/0000-0002-3097-360X https://orcid.org/0000-0002-5711-977X |