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SpeechGLUE: How Well Can Self-Supervised Speech Models Capture
  Linguistic Knowledge?

SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?

14 June 2023
Takanori Ashihara
Takafumi Moriya
Kohei Matsuura
Tomohiro Tanaka
Yusuke Ijima
Taichi Asami
Marc Delcroix
Yukinori Honma
    SSL
    ELM
ArXivPDFHTML

Papers citing "SpeechGLUE: How Well Can Self-Supervised Speech Models Capture Linguistic Knowledge?"

3 / 3 papers shown
Title
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
124
348
0
21 May 2022
COCO-LM: Correcting and Contrasting Text Sequences for Language Model
  Pretraining
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
Yu Meng
Chenyan Xiong
Payal Bajaj
Saurabh Tiwary
Paul N. Bennett
Jiawei Han
Xia Song
119
202
0
16 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
1