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@article{189069,
        author = {Satya Pal Singh and Shilpi Singh and Priya Singh and Shivanshi Shukla and Pratap Kumar Singh},
        title = {AI-based identification of appropriate language and Hate Speech},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {4536-4542},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189069},
        abstract = {The paper proposes a new method for AI-based identification and analysis of appropriate language and head speech in different communicative environments. The study fills an essential void in human-computer interaction by creating a system that not only transcribes spoken language but also identifies non-verbal signals, that is, head movements, to determine the appropriateness and efficiency of communication. Our approach combines a multi-modal deep learning framework that handles both audio (speech and tone) and video (head movement, nods, and shakes) inputs to predict communicative intent and context. We suggest a framework that combines both Convolutional Neural Networks (CNNs) for visual feature extraction from video frames and Recurrent Neural Networks (RNNs) or Transformers for temporal processing of speech and head movement. The model is trained on a self-annotated set of conversational exchanges, classified according to linguistic and gestural fit in varying social contexts, i.e., business meetings, small talk, and public speaking. The findings show that our model performs well on detecting fine-grained cues that other speech-to-text systems fail to catch, e.g., speaker agreement (nodding), disagreement (shaking head), or emphasis on specific points. This research has far-reaching implications for numerous applications, ranging from automated communication training, virtual assistant creation, to increased accessibility for people with communication disorders. By offering a holistic, context-sensitive analysis of verbal and non-verbal communication, our work sets the stage for more advanced and human-like AI systems.},
        keywords = {Artificial Intelligence (AI), Head Gesture Recognition, Deep Learning (DL), Humen Verbal Communication, NLP (Natural Language processing), Machine Learning.},
        month = {December},
        }