Unsupervised Phoneme and Word Discovery From Multiple Speakers Using Double Articulation Analyzer and Neural Network With Parametric Bias

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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Bibliographic Details
Main Authors: Ryo Nakashima, Ryo Ozaki, Tadahiro Taniguchi
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Robotics and AI
Subjects:
word discovery
phoneme discovery
parametric bias
Bayesian model
neural network
Online Access:https://www.frontiersin.org/article/10.3389/frobt.2019.00092/full

Internet

https://www.frontiersin.org/article/10.3389/frobt.2019.00092/full

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