Research on robustness of emotion recognition under environmental noise conditions

Y Huang, J Xiao, K Tian, A Wu, G Zhang - IEEE Access, 2019 - ieeexplore.ieee.org
… In this section, noise robustness and accuracy of various characteristics are evaluated
and compared on speech emotion recognition under different SNR levels. Also, 5-fold cross …

Robust emotion recognition in noisy speech via sparse representation

X Zhao, S Zhang, B Lei - Neural Computing and Applications, 2014 - Springer
… a new approach of robust emotion recognition in speech signals in noisy environment. By …
proposed for robust emotion recognition in noisy speech. The effectiveness and robustness of …

Improving noise robustness of speech emotion recognition system

Ł Juszkiewicz - Intelligent Distributed Computing VII: Proceedings of …, 2014 - Springer
… in a noise robust speech recognition [6]. This was the main motivation for making in this
paper an attempt to use HEQ for improving the speech emotion recognition accuracy in noisy

Robust front-end processing for emotion recognition in noisy speech

M Pandharipande, R Chakraborty… - … on Chinese Spoken …, 2018 - ieeexplore.ieee.org
emotion recognition performances degrade drastically for noisy speech, we propose a robust
… energy based VAD for robust emotion recognition in noisy speech. The proposed VAD is …

[PDF][PDF] Emotion recognition in the noise applying large acoustic feature sets

B Schuller, D Arsic, F Wallhoff, G Rigoll - 2006 - opus.bibliothek.uni-augsburg.de
… effects of noise conditions for speech emotion recognition on … speech emotion recognition
suffers as expected under noise … can be observed at severe noise levels compared to other …

Deep architecture enhancing robustness to noise, adversarial attacks, and cross-corpus setting for speech emotion recognition

S Latif, R Rana, S Khalifa, R Jurdak… - arXiv preprint arXiv …, 2020 - arxiv.org
… long-short term memory (LSTM) CNN-LSTM model for robust SER. ey found that CNN
demonstrates a certain degree of noise robustness. However, this study does not utilise very deep …

Not all features are equal: Selection of robust features for speech emotion recognition in noisy environments

SG Leem, D Fulford, JP Onnela… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
… understanding the robustness of each acoustic feature can lead to more robust SER systems…
with regard to noise robustness, we analyze each acoustic feature in the presence of noise, …

Multi-condition training for noise-robust speech emotion recognition

Y Chiba, T Nose, A Ito - Acoustical Science and Technology, 2019 - jstage.jst.go.jp
… Conclusion This paper compared the performance of noise-robust emotion recognition
showed the emotion recognition results of the classifier trained with clean speech under a noisy

Towards a small set of robust acoustic features for emotion recognition: challenges

M Tahon, L Devillers - … ACM transactions on audio, speech, and …, 2015 - ieeexplore.ieee.org
… for emotion recognition systems since realistic emotions could not be found in acted databases
[13]. However, in real-life contexts, emotions … They are known to be robust to noisy signal. …

[PDF][PDF] Front-End Feature Compensation and Denoising for Noise Robust Speech Emotion Recognition.

R Chakraborty, A Panda, M Pandharipande… - …, 2019 - isca-archive.org
… in imparting robustness to the emotion recognition systems. … been used in noisy speech
emotion recognition task (eg [5, 8… been investigated for speech emotion recognition task. Since …