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Structured Pruning of Self-Supervised Pre-trained Models for Speech
  Recognition and Understanding

Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding

27 February 2023
Yifan Peng
Kwangyoun Kim
Felix Wu
Prashant Sridhar
Shinji Watanabe
ArXivPDFHTML

Papers citing "Structured Pruning of Self-Supervised Pre-trained Models for Speech Recognition and Understanding"

6 / 6 papers shown
Title
StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models
StableQuant: Layer Adaptive Post-Training Quantization for Speech Foundation Models
Yeona Hong
Hyewon Han
Woo-Jin Chung
Hong-Goo Kang
MQ
28
0
0
21 Apr 2025
How Redundant Is the Transformer Stack in Speech Representation Models?
How Redundant Is the Transformer Stack in Speech Representation Models?
Teresa Dorszewski
Albert Kjøller Jacobsen
Lenka Tětková
Lars Kai Hansen
104
0
0
20 Jan 2025
Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget
Efficient Training of Self-Supervised Speech Foundation Models on a Compute Budget
Andy T. Liu
Yi-Cheng Lin
Haibin Wu
Stefan Winkler
Hung-yi Lee
31
1
0
09 Sep 2024
Sustainable self-supervised learning for speech representations
Sustainable self-supervised learning for speech representations
Luis Lugo
Valentin Vielzeuf
29
2
0
11 Jun 2024
Efficiency-oriented approaches for self-supervised speech representation
  learning
Efficiency-oriented approaches for self-supervised speech representation learning
Luis Lugo
Valentin Vielzeuf
SSL
19
1
0
18 Dec 2023
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
339
0
21 May 2022
1