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of 144
pro vyhledávání: '"Li Sunan"'
Autor:
Li, Sunan, Lian, Hailun, Lu, Cheng, Zhao, Yan, Qi, Tianhua, Yang, Hao, Zong, Yuan, Zheng, Wenming
The emotion recognition has attracted more attention in recent decades. Although significant progress has been made in the recognition technology of the seven basic emotions, existing methods are still hard to tackle compound emotion recognition that
Externí odkaz:
http://arxiv.org/abs/2407.12973
Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion Recognition
Cross-corpus speech emotion recognition (SER) aims to transfer emotional knowledge from a labeled source corpus to an unlabeled corpus. However, prior methods require access to source data during adaptation, which is unattainable in real-life scenari
Externí odkaz:
http://arxiv.org/abs/2401.12925
In this paper, we propose a novel time-frequency joint learning method for speech emotion recognition, called Time-Frequency Transformer. Its advantage is that the Time-Frequency Transformer can excavate global emotion patterns in the time-frequency
Externí odkaz:
http://arxiv.org/abs/2308.14568
Transformer has emerged in speech emotion recognition (SER) at present. However, its equal patch division not only damages frequency information but also ignores local emotion correlations across frames, which are key cues to represent emotion. To ha
Externí odkaz:
http://arxiv.org/abs/2306.01491
Spectrogram is commonly used as the input feature of deep neural networks to learn the high(er)-level time-frequency pattern of speech signal for speech emotion recognition (SER). \textcolor{black}{Generally, different emotions correspond to specific
Externí odkaz:
http://arxiv.org/abs/2210.12430
Publikováno v:
In Expert Systems With Applications 15 December 2024 258
Autor:
Qu, Zhongyuan, Wu, Shuang, Zheng, Yan, Bing, Yifan, Liu, Xueqin, Li, Sunan, Li, Wenlan, Zou, Xiang
Publikováno v:
In Journal of Pharmaceutical and Biomedical Analysis 20 January 2024 238
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Publikováno v:
IEEE Transactions on Affective Computing; Jul-Sep2024, Vol. 15 Issue 3, p990-1003, 14p
Akademický článek
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