Selective Acoustic Feature Enhancement for Speech Emotion Recognition With Noisy Speech-Reference-Cited by-同舟云学术

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Selective Acoustic Feature Enhancement for Speech Emotion Recognition With Noisy Speech

Published:2024 Issue: Volume:32 Page:917-929
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Leem Seong-Gyun¹^ORCID,Fulford Daniel²^ORCID,Onnela Jukka-Pekka³^ORCID,Gard David⁴^ORCID,Busso Carlos¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA

2. Occupational Therapy and Psychological and Brain Sciences, Boston University, Boston, MA, USA

3. Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA

4. Department of Psychology, San Francisco State University, San Francisco, CA, USA

Funder

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10347397.pdf?arnumber=10347397

Reference59 articles.

1. Affective computing

2. Deep Representation Learning for Affective Speech Signal Analysis and Processing: Preventing unwanted signal disparities

3. Speech Emotion Recognition under White Noise

4. Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks

5. The third ‘CHiME’ speech separation and recognition challenge: Dataset, task and baselines

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Joint enhancement and classification constraints for noisy speech emotion recognition;Digital Signal Processing;2024-08

2. Speech Emotion Recognition under Noisy Environments with SNR Down to −6 dB Using Multi-Decoder Wave-U-Net;Applied Sciences;2024-06-17

3. Enhancing Emotion Recognition in Conversation Through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning;Lecture Notes in Computer Science;2024

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