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1
Discovering Acoustic Units from Speech: A Bayesian Approach ; Découverte d'unités acoustiques dans la parole : une approche Bayésienne
Ondel, Lucas. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03478075 ; Computation and Language [cs.CL]. Brno University of Technology (MAIS), 2021. English (2021)
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2
Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery
In: https://hal.archives-ouvertes.fr/hal-03467205 ; 2021 (2021)
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3
Unsupervised Word Segmentation from Discrete Speech Units in Low-Resource Settings ...
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4
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
In: Interspeech 2020 - Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02962224 ; Interspeech 2020 - Conference of the International Speech Communication Association, Oct 2020, Shangai / Virtual, China (2020)
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5
Speech technology for unwritten languages
In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩ (2020)
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6
Bayesian Subspace HMM for the Zerospeech 2020 Challenge ...
Yusuf, Bolaji; Ondel, Lucas. - : arXiv, 2020
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7
A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery ...
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8
The Zero Resource Speech Challenge 2019: TTS without T
In: Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02274112 ; Interspeech 2019 - 20th Annual Conference of the International Speech Communication Association, Sep 2019, Graz, Austria (2019)
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9
AUTOMATIC LEARNING OF A PHONOLOGICAL SYSTEM: A CASE STUDY ON MBOSHI
In: International Conference Language Technologies for All (LT4ALL) ; https://hal.archives-ouvertes.fr/hal-03478242 ; International Conference Language Technologies for All (LT4ALL), 2019, Paris, France (2019)
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10
Unsupervised Word Segmentation from Speech with Attention
In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01818092 ; Interspeech 2018, Sep 2018, Hyderabad, India (2018)
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11
Bayesian models for unit discovery on a very low resource language
In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-01709589 ; IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2018, Calgary, Alberta, Canada (2018)
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12
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018)
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13
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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14
Unsupervised Word Segmentation from Speech with Attention ...
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15
An Empirical Evaluation of Zero Resource Acoustic Unit Discovery ...
Liu, Chunxi; Yang, Jinyi; Sun, Ming. - : arXiv, 2017
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