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. 2501.01103
  4. Cited By

learning discriminative features from spectrograms using center loss for speech emotion recognition

3 January 2025
Dongyang Dai
Zhiyong Wu
Runnan Li
Xixin Wu
Jia Jia
Helen Meng
ArXivPDFHTML

Papers citing "learning discriminative features from spectrograms using center loss for speech emotion recognition"

10 / 10 papers shown
Title
Can Large Language Models Aid in Annotating Speech Emotional Data?
  Uncovering New Frontiers
Can Large Language Models Aid in Annotating Speech Emotional Data? Uncovering New Frontiers
S. Latif
Muhammad Usama
Mohammad Ibrahim Malik
Björn W. Schuller
48
17
0
12 Jul 2023
A Comparison of Time-based Models for Multimodal Emotion Recognition
A Comparison of Time-based Models for Multimodal Emotion Recognition
Ege Kesim
Selahattin Serdar Helli
Sena Nur Cavsak
24
0
0
22 Jun 2023
Learning Robust Self-attention Features for Speech Emotion Recognition
  with Label-adaptive Mixup
Learning Robust Self-attention Features for Speech Emotion Recognition with Label-adaptive Mixup
Lei Kang
Lichao Zhang
Dazhi Jiang
19
6
0
07 May 2023
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
Continuous Metric Learning For Transferable Speech Emotion Recognition
  and Embedding Across Low-resource Languages
Continuous Metric Learning For Transferable Speech Emotion Recognition and Embedding Across Low-resource Languages
Sneha Das
N. Lund
N. Lønfeldt
A. Pagsberg
Line H. Clemmensen
15
4
0
28 Mar 2022
A Study on the Ambiguity in Human Annotation of German Oral History
  Interviews for Perceived Emotion Recognition and Sentiment Analysis
A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis
Michael Gref
Nike Matthiesen
Sreenivasa Hikkal Venugopala
Shalaka Satheesh
Aswinkumar Vijayananth
Duc Bach Ha
Sven Behnke
Joachim Kohler
27
9
0
18 Jan 2022
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion
  Recognition
Multi-Classifier Interactive Learning for Ambiguous Speech Emotion Recognition
Ying Zhou
Xuefeng Liang
Yu Gu
Yifei Yin
Longshan Yao
23
31
0
10 Dec 2020
Recognition-Synthesis Based Non-Parallel Voice Conversion with
  Adversarial Learning
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning
Jing-Xuan Zhang
Zhenhua Ling
Lirong Dai
15
6
0
05 Aug 2020
Speaker-invariant Affective Representation Learning via Adversarial
  Training
Speaker-invariant Affective Representation Learning via Adversarial Training
Haoqi Li
Ming Tu
Jing-ling Huang
Shrikanth Narayanan
P. Georgiou
15
54
0
04 Nov 2019
Speech Emotion Recognition with Dual-Sequence LSTM Architecture
Speech Emotion Recognition with Dual-Sequence LSTM Architecture
Jianyou Wang
Michael Xue
Ryan Culhane
Enmao Diao
Jie Ding
Vahid Tarokh
AI4TS
12
109
0
20 Oct 2019
1