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A segmental framework for fully-unsupervised large-vocabulary speech recognition

  • Published:2017-11 Issue: Volume:46 Page:154-174
  • ISSN:0885-2308
  • Container-title:Computer Speech & Language
  • language:en
  • Short-container-title:Computer Speech & Language

Author:

Kamper Herman,Jansen Aren,Goldwater Sharon

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference63 articles.

1. Deep segmental neural networks for speech recognition;Abdel-Hamid,2013

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. Bootstrap estimates for confidence intervals in ASR performance evaluation;Bisani,2004

5. Mommy and me: familiar names help launch babies into speech-stream segmentation;Bortfeld;Psychol. Sci.,2005

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1. Towards Matching Phones and Speech Representations;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

2. Clustering Unsupervised Representations as Defense Against Poisoning Attacks on Speech Commands Classification System;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. Audio-Visual Neural Syntax Acquisition;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Unsupervised phoneme and word acquisition from continuous speech based on a hierarchical probabilistic generative model;Advanced Robotics;2023-09-15

5. Word segmentation from transcriptions of child-directed speech using lexical and sub-lexical cues;Journal of Child Language;2023-09-12
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