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. 2406.15119
  4. Cited By
Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation

Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation

21 June 2024
Yi-Fen Chang
Zhao Ren
Zhonghao Zhao
Thanh Tam Nguyen
Kun Qian
Tanja Schultz
Björn W. Schuller
ArXivPDFHTML

Papers citing "Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation"

17 / 17 papers shown
Title
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech
  Emotion Recognition
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition
Yi Chang
Zhao Ren
Zixing Zhang
Xin Jing
Kun Qian
Xi Shao
Bin Hu
Tanja Schultz
Björn W. Schuller
AAML
48
4
0
02 Feb 2024
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
81
75
0
11 Jan 2023
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural
  Structured Learning
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning
Yi Chang
Zhao Ren
Thanh Tam Nguyen
Kun Qian
Björn W. Schuller
48
5
0
26 Oct 2022
Fast Yet Effective Speech Emotion Recognition with Self-distillation
Fast Yet Effective Speech Emotion Recognition with Self-distillation
Zhao Ren
Thanh Tam Nguyen
Yi Chang
Björn W. Schuller
35
12
0
26 Oct 2022
Meta Knowledge Condensation for Federated Learning
Meta Knowledge Condensation for Federated Learning
Ping Liu
Xin Yu
Qiufeng Wang
DD
FedML
57
29
0
29 Sep 2022
Privacy for Free: How does Dataset Condensation Help Privacy?
Privacy for Free: How does Dataset Condensation Help Privacy?
Tian Dong
Bo Zhao
Lingjuan Lyu
DD
68
115
0
01 Jun 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
FedSynth: Gradient Compression via Synthetic Data in Federated Learning
Shengyuan Hu
Jack Goetz
Kshitiz Malik
Hongyuan Zhan
Zhe Liu
Yue Liu
DD
FedML
62
39
0
04 Apr 2022
Dataset Distillation by Matching Training Trajectories
Dataset Distillation by Matching Training Trajectories
George Cazenavette
Tongzhou Wang
Antonio Torralba
Alexei A. Efros
Jun-Yan Zhu
FedML
DD
170
387
0
22 Mar 2022
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech
  Processing
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing
Sanyuan Chen
Chengyi Wang
Zhengyang Chen
Yu-Huan Wu
Shujie Liu
...
Yao Qian
Jian Wu
Micheal Zeng
Xiangzhan Yu
Furu Wei
SSL
206
1,846
0
26 Oct 2021
Dataset Distillation with Infinitely Wide Convolutional Networks
Dataset Distillation with Infinitely Wide Convolutional Networks
Timothy Nguyen
Roman Novak
Lechao Xiao
Jaehoon Lee
DD
90
233
0
27 Jul 2021
HuBERT: Self-Supervised Speech Representation Learning by Masked
  Prediction of Hidden Units
HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units
Wei-Ning Hsu
Benjamin Bolte
Yao-Hung Hubert Tsai
Kushal Lakhotia
Ruslan Salakhutdinov
Abdel-rahman Mohamed
SSL
147
2,939
0
14 Jun 2021
Towards Data Distillation for End-to-end Spoken Conversational Question
  Answering
Towards Data Distillation for End-to-end Spoken Conversational Question Answering
Chenyu You
Nuo Chen
Fenglin Liu
Dongchao Yang
Yuexian Zou
46
47
0
18 Oct 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
236
5,774
0
20 Jun 2020
Soft-Label Dataset Distillation and Text Dataset Distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
Ilia Sucholutsky
Matthias Schonlau
DD
126
135
0
06 Oct 2019
Dataset Distillation
Dataset Distillation
Tongzhou Wang
Jun-Yan Zhu
Antonio Torralba
Alexei A. Efros
DD
75
296
0
27 Nov 2018
A Survey of Machine and Deep Learning Methods for Internet of Things
  (IoT) Security
A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
M. Al-garadi
Amr M. Mohamed
A. Al-Ali
Xiaojiang Du
Mohsen Guizani
63
811
0
29 Jul 2018
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
296
6,660
0
08 Jun 2015
1