Mohit Dua

National Institute of Technology Kurukshetra

Papers

Total Citations

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About

Dr. Mohit Dua is a leading researcher in speech and audio processing, with a focus on advancing automatic speech recognition (ASR) and speaker verification systems for real-world applications. His major contribution lies in addressing the critical challenge of noise robustness in ASR, as demonstrated in his highly cited 2023 review, "Noise Robust Automatic Speech Recognition: Review and Analysis," which has garnered 29 citations. This work provides a comprehensive analysis of techniques to improve ASR performance in noisy environments, a key barrier to practical deployment. Dr. Dua has also explored the integration of audio classification models for automatic speaker verification (ASV) within Industry 4.0 frameworks, as seen in his 2023 paper on "Various Audio Classification Models for Automatic Speaker Verification System in Industry 4.0." This research highlights the growing role of speech processing in automating industrial tasks, particularly for biometric security in robotic systems. With a total of 34 citations across his most-cited works, Dr. Dua's research is shaping the future of voice-enabled technologies in smart manufacturing and human-robot interaction, making him a notable figure in the field of speech processing and industrial automation.