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Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias
This paper describes a new unsupervised machine-learning method for simultaneous phoneme and word discovery from multiple speakers. Phoneme and word discovery from multiple speakers is a more challenging problem than that from one speaker, because the speech signals from different speakers exhibit d...
Autores principales: | Nakashima, Ryo, Ozaki, Ryo, Taniguchi, Tadahiro |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805918/ https://www.ncbi.nlm.nih.gov/pubmed/33501107 http://dx.doi.org/10.3389/frobt.2019.00092 |
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