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Information Retrieval for ZeroSpeech 2021: The Submission by University
  of Wroclaw

Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw

22 June 2021
J. Chorowski
Grzegorz Ciesielski
Jaroslaw Dzikowski
Adrian Lañcucki
R. Marxer
Mateusz Opala
P. Pusz
Paweł Rychlikowski
Michal Stypulkowski
ArXivPDFHTML

Papers citing "Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw"

9 / 9 papers shown
Title
Learning Semantic Information from Raw Audio Signal Using Both
  Contextual and Phonetic Representations
Learning Semantic Information from Raw Audio Signal Using Both Contextual and Phonetic Representations
Jaeyeon Kim
Injune Hwang
Kyogu Lee
25
0
0
02 Feb 2024
Representation Learning With Hidden Unit Clustering For Low Resource
  Speech Applications
Representation Learning With Hidden Unit Clustering For Low Resource Speech Applications
Varun Krishna
T. Sai
Sriram Ganapathy
SSL
32
2
0
14 Jul 2023
Self-supervised Fine-tuning for Improved Content Representations by
  Speaker-invariant Clustering
Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering
Heng-Jui Chang
Alexander H. Liu
James R. Glass
SSL
22
20
0
18 May 2023
DinoSR: Self-Distillation and Online Clustering for Self-supervised
  Speech Representation Learning
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning
Alexander H. Liu
Heng-Jui Chang
Michael Auli
Wei-Ning Hsu
James R. Glass
27
25
0
17 May 2023
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 Challenge
Ewan Dunbar
Nicolas Hamilakis
Emmanuel Dupoux
SSL
34
30
0
27 Oct 2022
Self-Supervised Representation Learning for Speech Using Visual
  Grounding and Masked Language Modeling
Self-Supervised Representation Learning for Speech Using Visual Grounding and Masked Language Modeling
Puyuan Peng
David Harwath
SSL
43
26
0
07 Feb 2022
Fast-Slow Transformer for Visually Grounding Speech
Fast-Slow Transformer for Visually Grounding Speech
Puyuan Peng
David Harwath
46
30
0
16 Sep 2021
Analyzing Speaker Information in Self-Supervised Models to Improve
  Zero-Resource Speech Processing
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing
Benjamin van Niekerk
Leanne Nortje
Matthew Baas
Herman Kamper
SSL
33
31
0
02 Aug 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
302
31,280
0
16 Jan 2013
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