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1805.10339
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Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels
25 May 2018
Reza Lotfian
Carlos Busso
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Papers citing
"Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels"
21 / 21 papers shown
Title
Adaptively Point-weighting Curriculum Learning
Wensheng Li
Hao Wang
Ruifeng Zhou
Hanting Guan
Chao Zhang
Dacheng Tao
ODL
43
0
0
03 May 2025
Does the Definition of Difficulty Matter? Scoring Functions and their Role for Curriculum Learning
Simon Rampp
M. Milling
Andreas Triantafyllopoulos
Björn Schuller
41
1
0
01 Nov 2024
Meta-Learn Unimodal Signals with Weak Supervision for Multimodal Sentiment Analysis
Sijie Mai
Yu Zhao
Ying Zeng
Jianhua Yao
Haifeng Hu
36
2
0
28 Aug 2024
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning
Yuntao Shou
Tao Meng
Wei Ai
Nan Yin
Keqin Li
37
30
0
10 Dec 2023
A Comprehensive Study of Privacy Risks in Curriculum Learning
Joann Qiongna Chen
Xinlei He
Zheng Li
Yang Zhang
Zhou Li
54
2
0
16 Oct 2023
ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy
Jiang Li
Xiaoping Wang
Yingjian Liu
Zhigang Zeng
38
6
0
12 Aug 2023
On the Perception of Difficulty: Differences between Humans and AI
Philipp Spitzer
Joshua Holstein
Michael Vossing
Niklas Kühl
25
0
0
19 Apr 2023
Learning to Learn: How to Continuously Teach Humans and Machines
Parantak Singh
You Li
Ankur Sikarwar
Weixian Lei
Daniel Gao
Morgan B. Talbot
Ying Sun
Mike Zheng Shou
Gabriel Kreiman
Mengmi Zhang
CLL
18
5
0
28 Nov 2022
Knowledge Transfer For On-Device Speech Emotion Recognition with Neural Structured Learning
Yi Chang
Zhao Ren
Thanh Tam Nguyen
Kun Qian
Björn W. Schuller
33
5
0
26 Oct 2022
Task Phasing: Automated Curriculum Learning from Demonstrations
Vaibhav Bajaj
Guni Sharon
Peter Stone
28
8
0
20 Oct 2022
Training speech emotion classifier without categorical annotations
Meysam Shamsi
Marie Tahon
18
2
0
14 Oct 2022
Detecting the Severity of Major Depressive Disorder from Speech: A Novel HARD-Training Methodology
Edward L. Campbell
J. Dineley
Pauline Conde
F. Matcham
F. Lamers
S. Siddi
Laura Docío-Fernández
C. García-Mateo
N. Cummins
the RADAR-CNS Consortium
29
4
0
02 Jun 2022
Improving multi-speaker TTS prosody variance with a residual encoder and normalizing flows
Iván Vallés-Pérez
Julian Roth
Grzegorz Beringer
Roberto Barra-Chicote
J. Droppo
34
8
0
10 Jun 2021
Sound Event Detection Based on Curriculum Learning Considering Learning Difficulty of Events
Noriyuki Tonami
Keisuke Imoto
Yuki Okamoto
Takahiro Fukumori
Y. Yamashita
22
4
0
10 Feb 2021
Curriculum Learning: A Survey
Petru Soviany
Radu Tudor Ionescu
Paolo Rota
N. Sebe
ODL
79
342
0
25 Jan 2021
Expressive TTS Training with Frame and Style Reconstruction Loss
Rui Liu
Berrak Sisman
Guanglai Gao
Haizhou Li
37
73
0
04 Aug 2020
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
R. Pappagari
Tianzi Wang
Jesus Villalba
Nanxin Chen
Najim Dehak
22
106
0
12 Feb 2020
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wild
Subham Banga
Ujjwal Upadhyay
P. Agarwal
Aniket Sharma
Prerana Mukherjee
13
3
0
18 Oct 2019
EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings
Jing Han
Zixing Zhang
Zhao Ren
Björn Schuller
20
43
0
23 Jul 2019
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
F. Ringeval
Björn Schuller
M. Valstar
N. Cummins
R. Cowie
...
Ziping Zhao
Adria Mallol-Ragolta
Zhao Ren
M. Soleymani
M. Pantic
24
290
0
10 Jul 2019
Dynamic Difficulty Awareness Training for Continuous Emotion Prediction
Zixing Zhang
Jing Han
E. Coutinho
Björn Schuller
26
38
0
26 Sep 2018
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