Multilingual and unsupervised subword modeling for zero-resource languages

Author:

Hermann Enno,Kamper Herman,Goldwater Sharon

Funder

James S. McDonnell Foundation

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference55 articles.

1. Improved multilingual training of stacked neural network acoustic models for low resource languages;Alumäe,2016

2. An auto-encoder based approach to unsupervised learning of subword units;Badino,2014

3. Discovering discrete subword units with binarized autoencoders and hidden-Markov-model encoders;Badino,2015

4. Rapid evaluation of speech representations for spoken term discovery;Carlin,2011

5. Parallel inference of dirichlet process gaussian mixture models for unsupervised acoustic modeling: a feasibility study;Chen,2015

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