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pro vyhledávání: '"Peymanfard, Javad"'
Autor:
Peymanfard, Javad, Saeedi, Vahid, Mohammadi, Mohammad Reza, Zeinali, Hossein, Mozayani, Nasser
Lip reading is a challenging task that has many potential applications in speech recognition, human-computer interaction, and security systems. However, existing lip reading systems often suffer from low accuracy due to the limitations of video featu
Externí odkaz:
http://arxiv.org/abs/2307.10157
Publikováno v:
In 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE) (pp. 225-230). IEEE
Lip-reading has made impressive progress in recent years, driven by advances in deep learning. Nonetheless, the prerequisite such advances is a suitable dataset. This paper provides a new in-the-wild dataset for Persian word-level lipreading containi
Externí odkaz:
http://arxiv.org/abs/2304.04068
TTS, or text-to-speech, is a complicated process that can be accomplished through appropriate modeling using deep learning methods. In order to implement deep learning models, a suitable dataset is required. Since there is a scarce amount of work don
Externí odkaz:
http://arxiv.org/abs/2304.03585
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset
Autor:
Peymanfard, Javad, Heydarian, Samin, Lashini, Ali, Zeinali, Hossein, Mohammadi, Mohammad Reza, Mozayani, Nasser
In recent years, significant progress has been made in automatic lip reading. But these methods require large-scale datasets that do not exist for many low-resource languages. In this paper, we have presented a new multipurpose audio-visual dataset f
Externí odkaz:
http://arxiv.org/abs/2301.10180
With the recent proliferation of open textual data on social media platforms, Emotion Detection (ED) from Text has received more attention over the past years. It has many applications, especially for businesses and online service providers, where em
Externí odkaz:
http://arxiv.org/abs/2207.11808
A multi-purpose audio-visual corpus for multi-modal Persian speech recognition: The Arman-AV dataset
Autor:
Peymanfard, Javad, Heydarian, Samin, Lashini, Ali, Zeinali, Hossein, Mohammadi, Mohammad Reza, Mozayani, Nasser
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part E
Lip-reading is the operation of recognizing speech from lip movements. This is a difficult task because the movements of the lips when pronouncing the words are similar for some of them. Viseme is used to describe lip movements during a conversation.
Externí odkaz:
http://arxiv.org/abs/2104.04784
Publikováno v:
2022 International Conference on Machine Vision and Image Processing (MVIP).
Lip-reading is the operation of recognizing speech from lip movements. This is a difficult task because the movements of the lips when pronouncing the words are similar for some of them. Viseme is used to describe lip movements during a conversation.