@article{TACL520,
        author = {Chia-ying Lee and Timothy O'Donnell and James Glass},
        title = {Unsupervised Lexicon Discovery from Acoustic Input},
        journal = {Transactions of the Association for Computational Linguistics},
        volume = {3},
        year = {2015},
        keywords = {},
        abstract = {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 symbolic lexicon discovery using the Adaptor Grammar
framework (Johnson et al., 2006), integrating these earlier approaches using
a probabilistic model of phonological variation. We show that the model is
competitive with state-of-the-art spoken term discovery systems, and present
analyses exploring the model's behavior and the kinds of linguistic
structures it learns.       },
        issn = {2307-387X},
        url =
{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/520},
        pages = {389--403}
}