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Exploring TTS without T Using Biologically/Psychologically Motivated
  Neural Network Modules (ZeroSpeech 2020)
v1v2v3 (latest)

Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)

11 May 2020
Takashi Morita
H. Koda
ArXiv (abs)PDFHTML

Papers citing "Exploring TTS without T Using Biologically/Psychologically Motivated Neural Network Modules (ZeroSpeech 2020)"

4 / 4 papers shown
Self-supervised language learning from raw audio: Lessons from the Zero
  Resource Speech Challenge
Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech ChallengeIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Ewan Dunbar
Nicolas Hamilakis
Emmanuel Dupoux
SSL
278
45
0
27 Oct 2022
Generative Spoken Language Modeling from Raw Audio
Generative Spoken Language Modeling from Raw AudioTransactions of the Association for Computational Linguistics (TACL), 2021
Kushal Lakhotia
Evgeny Kharitonov
Wei-Ning Hsu
Yossi Adi
Adam Polyak
...
Tu Nguyen
Jade Copet
Alexei Baevski
A. Mohamed
Emmanuel Dupoux
AuLLM
774
458
0
01 Feb 2021
The Zero Resource Speech Challenge 2020: Discovering discrete subword
  and word units
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
Ewan Dunbar
Julien Karadayi
Mathieu Bernard
Xuan-Nga Cao
Robin Algayres
Lucas Ondel
Laurent Besacier
S. Sakti
Emmanuel Dupoux
SSL
311
64
0
12 Oct 2020
Towards Induction of Structured Phoneme Inventories
Towards Induction of Structured Phoneme Inventories
Alexander Gutkin
Martin Jansche
Lucy Skidmore
182
0
0
12 Oct 2020
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