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Attention-Augmented End-to-End Multi-Task Learning for Emotion
  Prediction from Speech

Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech

29 March 2019
Zixing Zhang
Bingwen Wu
Bjoern Schuller
ArXivPDFHTML

Papers citing "Attention-Augmented End-to-End Multi-Task Learning for Emotion Prediction from Speech"

9 / 9 papers shown
Title
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Tian-Hao Zhang
Jiawei Zhang
Jun Wang
Xinyuan Qian
Xu-cheng Yin
CVBM
51
0
0
02 Jan 2025
Towards Principled Task Grouping for Multi-Task Learning
Towards Principled Task Grouping for Multi-Task Learning
Chenguang Wang
Xuanhao Pan
Tianshu Yu
31
0
0
23 Feb 2024
Multitask Learning from Augmented Auxiliary Data for Improving Speech
  Emotion Recognition
Multitask Learning from Augmented Auxiliary Data for Improving Speech Emotion Recognition
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Björn W. Schuller
35
22
0
12 Jul 2022
Recognizing More Emotions with Less Data Using Self-supervised Transfer
  Learning
Recognizing More Emotions with Less Data Using Self-supervised Transfer Learning
Jonathan Boigne
Biman Liyanage
Ted Östrem
21
20
0
11 Nov 2020
Multimodal Continuous Emotion Recognition using Deep Multi-Task Learning
  with Correlation Loss
Multimodal Continuous Emotion Recognition using Deep Multi-Task Learning with Correlation Loss
Berkay Köprü
E. Erzin
CVBM
19
5
0
02 Nov 2020
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child
  Multimodal Interaction Dataset
Dyadic Speech-based Affect Recognition using DAMI-P2C Parent-child Multimodal Interaction Dataset
Huili Chen
Yue Zhang
F. Weninger
Rosalind W. Picard
C. Breazeal
Hae Won Park
CVBM
35
14
0
20 Aug 2020
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text
  Classification
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
Changzeng Fu
Chaoran Liu
C. Ishi
Y. Yoshikawa
H. Ishiguro
27
17
0
04 Mar 2020
Towards Learning a Universal Non-Semantic Representation of Speech
Towards Learning a Universal Non-Semantic Representation of Speech
Joel Shor
A. Jansen
Ronnie Maor
Oran Lang
Omry Tuval
Félix de Chaumont Quitry
Marco Tagliasacchi
Ira Shavitt
Dotan Emanuel
Yinnon A. Haviv
SSL
44
155
0
25 Feb 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
32
81
0
02 Jan 2020
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