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Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models
14 July 2022
Takanori Ashihara
Takafumi Moriya
Kohei Matsuura
Tomohiro Tanaka
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Papers citing
"Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models"
9 / 9 papers shown
Title
Outlier Reduction with Gated Attention for Improved Post-training Quantization in Large Sequence-to-sequence Speech Foundation Models
Dominik Wagner
Ilja Baumann
K. Riedhammer
Tobias Bocklet
MQ
30
1
0
16 Jun 2024
Sustainable self-supervised learning for speech representations
Luis Lugo
Valentin Vielzeuf
31
2
0
11 Jun 2024
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
26
1
0
18 Dec 2023
Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation
Kangwook Jang
Sungnyun Kim
Se-Young Yun
Hoi-Rim Kim
26
5
0
19 May 2023
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
22
24
0
17 May 2023
Exploration of Language Dependency for Japanese Self-Supervised Speech Representation Models
Takanori Ashihara
Takafumi Moriya
Kohei Matsuura
Tomohiro Tanaka
25
3
0
09 May 2023
Enhancing and Adversarial: Improve ASR with Speaker Labels
Wei Zhou
Haotian Wu
Jingjing Xu
Mohammad Zeineldeen
Christoph Luscher
Ralf Schluter
Hermann Ney
29
8
0
11 Nov 2022
Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition
Yujin Wang
Changli Tang
Ziyang Ma
Zhisheng Zheng
Xie Chen
Weiqiang Zhang
38
1
0
27 Oct 2022
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
240
4,469
0
23 Jan 2020
1