Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Huawei Tao"'
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7391 (2024)
When people tell lies, they often exhibit tension and emotional fluctuations, reflecting a complex psychological state. However, the scarcity of labeled data in datasets and the complexity of deception information pose significant challenges in extra
Externí odkaz:
https://doaj.org/article/8fc6aa57fcad40a8b3708d2584543d3d
Publikováno v:
Molecules, Vol 28, Iss 18, p 6680 (2023)
Anticancer peptides (ACPs) have promising prospects for cancer treatment. Traditional ACP identification experiments have the limitations of low efficiency and high cost. In recent years, data-driven deep learning techniques have shown significant po
Externí odkaz:
https://doaj.org/article/49dc32ecd1fc4c328b6327066ae5b667
Publikováno v:
Entropy, Vol 25, Iss 1, p 68 (2022)
The absence of labeled samples limits the development of speech emotion recognition (SER). Data augmentation is an effective way to address sample sparsity. However, there is a lack of research on data augmentation algorithms in the field of SER. In
Externí odkaz:
https://doaj.org/article/286a7739645d4cd898d34263e6b7ae66
Publikováno v:
IEEE Access, Vol 7, Pp 90368-90377 (2019)
Speech is the most effective way for people to exchange complex information. Recognition of emotional information contained in speech is one of the important challenges in the field of artificial intelligence. To better acquire emotional features in
Externí odkaz:
https://doaj.org/article/e1174395434746429c085e8280ffa4cf
Publikováno v:
Entropy, Vol 24, Iss 8, p 1025 (2022)
The quality of feature extraction plays a significant role in the performance of speech emotion recognition. In order to extract discriminative, affect-salient features from speech signals and then improve the performance of speech emotion recognitio
Externí odkaz:
https://doaj.org/article/5db0afd864794fd3863e4a54743aa53d
Publikováno v:
IEEE Access, Vol 6, Pp 76527-76534 (2018)
Despite the widespread use of multi-physiological parameters for deception detection, they have been severely restricted due to the high degree of cooperation in contacting-detection. Therefore, a noncontacting method is proposed for deception detect
Externí odkaz:
https://doaj.org/article/41fbc96fbcaf4cce876c4e87f5bb3d3d
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223361 (2019)
Existing algorithms of speech-based deception detection are severely restricted by the lack of sufficient number of labelled data. However, a large amount of easily available unlabelled data has not been utilized in reality. To solve this problem, th
Externí odkaz:
https://doaj.org/article/d27e6a1765d94a97b9d763c87f4d7ff8
Publikováno v:
IEEE Transactions on Cognitive and Developmental Systems. 14:1564-1573
Speech Emotion Recognition (SER) aims to endow machines with the intelligence in perceiving latent affective components from speech. However, the existing works on deep-learning-based SER make it difficult to jointly consider time-frequency and seque
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3f898fa3c267884a7e57f2e995b56e
https://doi.org/10.1109/tcds.2021.3123979
https://doi.org/10.1109/tcds.2021.3123979
Publikováno v:
IEICE Transactions on Information and Systems. :1803-1806
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96754a5efec8c5ed362a22ad95d602c2
https://doi.org/10.1587/transinf.2022edl8045
https://doi.org/10.1587/transinf.2022edl8045
Publikováno v:
IAENG International Journal of Computer Science; Mar2024, Vol. 51 Issue 3, p243-251, 9p