#3784. Language dialect based speech emotion recognition through deep learning techniques

October 2026publication date
Proposal available till 08-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Language and Linguistics;
Linguistics and Language;
Computer Vision and Pattern Recognition;
Human-Computer Interaction;
Software;
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Abstract:
The primordial way of communication is through vocal signals, which pave the way for support between individuals in a social structure. The semantic relatedness of words with abstract concepts proves to be complicated than concrete ideas. An ensemble of different clustering techniques is utilized to automatically segregate sense distinctions in the various dialects of sentences spoken to tackle this issue. The interpretation of word sense of a word may change with time and group of people. The proposed model utilizes stop words to distinguish word senses with 72.78% accuracy for regional dialects.
Keywords:
Automatic speech recognition; Senticnet; Speech Emotion Recognition; Word sense

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