Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Askar Hamdulla"'
Publikováno v:
IET Computer Vision, Vol 17, Iss 8, Pp 1017-1033 (2023)
Abstract The use of deep neural networks has revolutionised object tracking tasks, and Siamese trackers have emerged as a prominent technique for this purpose. Existing Siamese trackers use a fixed template or template updating technique, but it is p
Externí odkaz:
https://doaj.org/article/50a43be7949d4f63968a8e9a6c1f827d
Publikováno v:
IEEE Access, Vol 11, Pp 141251-141260 (2023)
In the Emotion Recognition in Conversations (ERC) task, extracting emotional cues from the context is an effective strategy for improving model performance. However, current research has two evident limitations: firstly, irrelevant context informatio
Externí odkaz:
https://doaj.org/article/4c2a97b8b9374f49968c09456b74a675
Publikováno v:
IEEE Access, Vol 11, Pp 112631-112638 (2023)
In multi-speaker scenarios, speech processing tasks like speaker identification and speech recognition are susceptible to noise and overlapped voices. As the overlapped voices are a complicated mixture of signals, a target extraction method from this
Externí odkaz:
https://doaj.org/article/d9798c28e749438cb6ef28841188140c
Publikováno v:
IEEE Access, Vol 10, Pp 113915-113922 (2022)
Multiple-choice reading comprehension is a challenging task in natural language processing, which aims to select the correct answer from a set of candidate options when given passage and question. Previous approaches usually focus only on word vector
Externí odkaz:
https://doaj.org/article/3d0cb1215ddd4350b25c7ada5a395ebf
Publikováno v:
Information, Vol 14, Iss 7, p 369 (2023)
Text recognition is an important research topic in computer vision. Scene text, which refers to the text in real scenes, sometimes needs to meet the requirement of attracting attention, and there is the situation such as deformation. At the same time
Externí odkaz:
https://doaj.org/article/981408c576544261b9dbb68ed636cf98
Publikováno v:
Information, Vol 14, Iss 5, p 283 (2023)
In this study, based on a morpheme segmentation framework, we researched a text keyword extraction method for Uyghur, Kazakh and Kirghiz languages, which have similar grammatical and lexical structures. In these languages, affixes and a stem are join
Externí odkaz:
https://doaj.org/article/1fd6d349676741bcbd4e395ba006ce07
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4235 (2023)
Language identification is the front end of multilingual speech-processing tasks. The study aims to enhance the accuracy of language identification in complex acoustic environments by proposing a multi-scale feature extraction method. This method rep
Externí odkaz:
https://doaj.org/article/a39cc9c2153c46b98370758e9d1fc04c
Publikováno v:
Information, Vol 14, Iss 1, p 55 (2023)
Deep learning has significantly boosted the performance improvement of automatic speech recognition (ASR) with the cooperation of large amounts of data resources. For minority languages, however, there are almost no large-scale data resources, limiti
Externí odkaz:
https://doaj.org/article/1cbb6b761c9d4e27bef7bf265fe5cac1
Publikováno v:
Advances in Multimedia, Vol 2022 (2022)
The accuracy and robustness of object-tracking algorithms are challenging tasks in the field of artificial intelligence. The discriminative correlation filter has fast tracking speed and target discrimination ability in visual target tracking, but it
Externí odkaz:
https://doaj.org/article/06b74c07e51f437da14f5efb17288069
Publikováno v:
PLoS ONE, Vol 17, Iss 11, p e0277463 (2022)
False information detection can detect false information in social media and reduce its negative impact on society. With the development of multimedia, the multimodal content contained in false information is increasing, so it is important to use mul
Externí odkaz:
https://doaj.org/article/70f90fff85b44b9593ffb648cdd5d1da