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Speaker-invariant Affective Representation Learning via Adversarial
  Training
v1v2v3 (latest)

Speaker-invariant Affective Representation Learning via Adversarial Training

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
4 November 2019
Haoqi Li
Ming Tu
Jing-ling Huang
Shrikanth Narayanan
P. Georgiou
ArXiv (abs)PDFHTML

Papers citing "Speaker-invariant Affective Representation Learning via Adversarial Training"

20 / 20 papers shown
learning discriminative features from spectrograms using center loss for speech emotion recognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Dongyang Dai
Zhiyong Wu
Runnan Li
Xixin Wu
Jia Jia
Helen Meng
306
56
0
03 Jan 2025
DSNet: Disentangled Siamese Network with Neutral Calibration for Speech
  Emotion Recognition
DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition
Chengxin Chen
Pengyuan Zhang
139
1
0
25 Dec 2023
Disentangling Voice and Content with Self-Supervision for Speaker
  Recognition
Disentangling Voice and Content with Self-Supervision for Speaker RecognitionNeural Information Processing Systems (NeurIPS), 2023
Tianchi Liu
Kong Aik Lee
Qiongqiong Wang
Haizhou Li
BDLDRL
362
45
0
02 Oct 2023
Stuttering Detection Using Speaker Representations and Self-supervised
  Contextual Embeddings
Stuttering Detection Using Speaker Representations and Self-supervised Contextual EmbeddingsInternational Journal of Speech Technology (IJST), 2023
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
252
9
0
01 Jun 2023
Vocal Style Factorization for Effective Speaker Recognition in Affective
  Scenarios
Vocal Style Factorization for Effective Speaker Recognition in Affective Scenarios
Morgan Sandler
Arun Ross
CVBM
165
0
0
13 May 2023
Exploring speaker enrolment for few-shot personalisation in emotional
  vocalisation prediction
Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction
Andreas Triantafyllopoulos
Meishu Song
Zijiang Yang
Xin Jing
Björn W. Schuller
133
11
0
14 Jun 2022
You Are What You Write: Preserving Privacy in the Era of Large Language
  Models
You Are What You Write: Preserving Privacy in the Era of Large Language Models
Richard Plant
V. Giuffrida
Dimitra Gkatzia
PILM
232
22
0
20 Apr 2022
Robust Stuttering Detection via Multi-task and Adversarial Learning
Robust Stuttering Detection via Multi-task and Adversarial LearningEuropean Signal Processing Conference (EUSIPCO), 2022
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
192
15
0
04 Apr 2022
Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection
Introducing ECAPA-TDNN and Wav2Vec2.0 Embeddings to Stuttering Detection
S. A. Sheikh
Md. Sahidullah
F. Hirsch
Slim Ouni
208
22
0
04 Apr 2022
MMER: Multimodal Multi-task Learning for Speech Emotion Recognition
MMER: Multimodal Multi-task Learning for Speech Emotion RecognitionInterspeech (Interspeech), 2022
Sreyan Ghosh
Utkarsh Tyagi
S. Ramaneswaran
Harshvardhan Srivastava
Dinesh Manocha
373
27
0
31 Mar 2022
Speech Emotion Recognition System by Quaternion Nonlinear Echo State
  Network
Speech Emotion Recognition System by Quaternion Nonlinear Echo State Network
Fatemeh Daneshfar
S. J. Kabudian
115
8
0
14 Nov 2021
Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme
  Learning Machine with a New Weighting Scheme and Spectro-Temporal Features
  Along with Classical Feature Selection and A New Quantum-Inspired Dimension
  Reduction Method
Speech Emotion Recognition Using Deep Sparse Auto-Encoder Extreme Learning Machine with a New Weighting Scheme and Spectro-Temporal Features Along with Classical Feature Selection and A New Quantum-Inspired Dimension Reduction Method
Fatemeh Daneshfar
S. J. Kabudian
167
4
0
13 Nov 2021
Multimodal Emotion Recognition with High-level Speech and Text Features
Multimodal Emotion Recognition with High-level Speech and Text Features
M. R. Makiuchi
Kuniaki Uto
Koichi Shinoda
229
84
0
29 Sep 2021
Multi-Level Transfer Learning from Near-Field to Far-Field Speaker
  Verification
Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification
Li Zhang
Qing Wang
Kong Aik Lee
Lei Xie
Haizhou Li
171
14
0
17 Jun 2021
Supervised Speech Representation Learning for Parkinson's Disease
  Classification
Supervised Speech Representation Learning for Parkinson's Disease ClassificationITG Conference on Speech Communication (ITG), 2021
Parvaneh Janbakhshi
I. Kodrasi
186
20
0
01 Jun 2021
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in
  Audio-Visual Emotion Recognition
Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion RecognitionInterspeech (Interspeech), 2021
Haoqi Li
Yelin Kim
Cheng-Hao Kuo
Shrikanth Narayanan
182
12
0
05 Apr 2021
An Empirical Study on Channel Effects for Synthetic Voice Spoofing
  Countermeasure Systems
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure SystemsInterspeech (Interspeech), 2021
You Zhang
Ge Zhu
Fei Jiang
Z. Duan
291
30
0
03 Apr 2021
Unsupervised Speech Representation Learning for Behavior Modeling using
  Triplet Enhanced Contextualized Networks
Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized NetworksComputer Speech and Language (CSL), 2021
Haoqi Li
Brian R. Baucom
Shrikanth Narayanan
P. Georgiou
149
2
0
01 Apr 2021
Disentanglement for audio-visual emotion recognition using multitask
  setup
Disentanglement for audio-visual emotion recognition using multitask setupIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Raghuveer Peri
Srinivas Parthasarathy
Charles Bradshaw
Shiva Sundaram
147
14
0
11 Feb 2021
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
346
88
0
02 Jan 2020
1
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