Deep Neural Networks for Enhancing Conversational AI in Multilingual India
DOI:
https://doi.org/10.36676/irt.v8.i4.1505Keywords:
Deep Neural Networks, Conversational AI, MultilingualAbstract
This paper investigates the application of Deep Neural Networks (DNNs) in developing conversational AI systems tailored for India's multilingual population. The study evaluates various neural network architectures, including Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), to enhance speech recognition and natural language understanding in Indian languages. Challenges like language diversity, dialect variation, and low-resource languages are addressed by introducing new training datasets and multilingual models. The paper also examines how conversational AI systems can be integrated into customer service, education, and healthcare sectors in India, with a focus on inclusivity and accessibility.
References
Vasa, Y., Mallreddy, S. R., & Jami, V. S. (2022). AUTOMATED MACHINE LEARNING FRAMEWORK USING LARGE LANGUAGE MODELS FOR FINANCIAL SECURITY IN CLOUD OBSERVABILITY. International Journal of Research and Analytical Reviews , 9(3), 183–190.
Vasa, Y., & Singirikonda, P. (2022). Proactive Cyber Threat Hunting With AI: Predictive And Preventive Strategies. International Journal of Computer Science and Mechatronics, 8(3), 30–36.
Vasa, Y., Cheemakurthi, S. K. M., & Kilaru, N. B. (2022). Deep Learning Models For Fraud Detection In Modernized Banking Systems Cloud Computing Paradigm. International Journal of Advances in Engineering and Management, 4(6), 2774–2783. https://doi.org/10.35629/5252-040627742783
Mallreddy, S. R., & Vasa, Y. (2022). Autonomous Systems In Software Engineering: Reducing Human Error In Continuous Deployment Through Robotics And AI. NVEO - Natural Volatiles & Essential Oils, 9(1), 13653–13660. https://doi.org/https://doi.org/10.53555/nveo.v11i01.5765
Vasa, Y., & Mallreddy, S. R. (2022). Biotechnological Approaches To Software Health: Applying Bioinformatics And Machine Learning To Predict And Mitigate System Failures. Natural Volatiles & Essential Oils, 9(1), 13645–13652. https://doi.org/https://doi.org/10.53555/nveo.v9i2.5764
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