ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.06328
  4. Cited By
HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition

HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition

13 April 2022
J. Yoon
Beom Jun Woo
N. Kim
ArXivPDFHTML

Papers citing "HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition"

10 / 10 papers shown
Title
DAISY: Data Adaptive Self-Supervised Early Exit for Speech
  Representation Models
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models
T. Lin
Hung-yi Lee
Hao Tang
40
1
0
08 Jun 2024
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech
  Recognition, Translation, and Language Identification
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification
Yifan Peng
Yui Sudo
Muhammad Shakeel
Shinji Watanabe
VLM
37
17
0
20 Feb 2024
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and
  Customizable Inference
Subnetwork-to-go: Elastic Neural Network with Dynamic Training and Customizable Inference
Kai Li
Yi Luo
26
2
0
06 Dec 2023
Big model only for hard audios: Sample dependent Whisper model selection
  for efficient inferences
Big model only for hard audios: Sample dependent Whisper model selection for efficient inferences
Hugo Malard
Salah Zaiem
Robin Algayres
31
2
0
22 Sep 2023
Training dynamic models using early exits for automatic speech
  recognition on resource-constrained devices
Training dynamic models using early exits for automatic speech recognition on resource-constrained devices
George August Wright
Umberto Cappellazzo
Salah Zaiem
Desh Raj
Lucas Ondel Yang
Daniele Falavigna
Mohamed Nabih Ali
A. Brutti
22
2
0
18 Sep 2023
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised
  Models: A Comparative Study
Fine-tuning Strategies for Faster Inference using Speech Self-Supervised Models: A Comparative Study
Salah Zaiem
Robin Algayres
Titouan Parcollet
S. Essid
Mirco Ravanelli
52
14
0
12 Mar 2023
Understanding the Robustness of Multi-Exit Models under Common
  Corruptions
Understanding the Robustness of Multi-Exit Models under Common Corruptions
Akshay Mehra
Skyler Seto
Navdeep Jaitly
B. Theobald
AAML
16
3
0
03 Dec 2022
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Avoid Overthinking in Self-Supervised Models for Speech Recognition
Dan Berrebbi
Brian Yan
Shinji Watanabe
LRM
20
4
0
01 Nov 2022
Intermediate Loss Regularization for CTC-based Speech Recognition
Intermediate Loss Regularization for CTC-based Speech Recognition
Jaesong Lee
Shinji Watanabe
118
135
0
05 Feb 2021
Don't shoot butterfly with rifles: Multi-channel Continuous Speech
  Separation with Early Exit Transformer
Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer
Sanyuan Chen
Yu-Huan Wu
Zhuo Chen
Takuya Yoshioka
Shujie Liu
Jinyu Li
29
26
0
23 Oct 2020
1