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...

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Detalles Bibliográficos
Autores principales: Nakashima, Ryo, Ozaki, Ryo, Taniguchi, Tadahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Robotics and AI
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

Internet

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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