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

14 June 2023

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

5 / 5 papers shown

Title
Self-Supervised Speech Representations are More Phonetic than Semantic Kwanghee Choi Ankita Pasad Tomohiko Nakamura Satoru Fukayama Karen Livescu Shinji Watanabe 41 14 0 12 Jun 2024
What Do Self-Supervised Speech and Speaker Models Learn? New Findings From a Cross Model Layer-Wise Analysis Takanori Ashihara Marc Delcroix Takafumi Moriya Kohei Matsuura Taichi Asami Yusuke Ijima SSL 24 7 0 31 Jan 2024
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 137 352 0 21 May 2022
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 125 203 0 16 Feb 2021
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 304 6,996 0 20 Apr 2018