Speech and Natural Language Processing Lab
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Speech and Natural Language Processing Lab
Overview
The Speech and Natural Language Processing Laboratory is a dedicated research and teaching facility located in Pearl Research Park (PRP), VIT Vellore Campus, under the School of Computer Science and Engineering (SCOPE). The laboratory operates from Room No. PRP118A and is designed to support advanced education and research in speech processing, natural language understanding, and conversational artificial intelligence. The lab provides an integrated environment for students, researchers, and faculty to develop intelligent systems capable of analyzing, interpreting, and generating human speech and text, thereby strengthening both academic instruction and applied research initiatives within the department.
Objectives
- To support curriculum-aligned laboratory learning and advanced research in speech and natural language processing using real-world datasets and tools, enabling outcomes such as publications and intellectual property.
- To promote industry relevant innovation through applied projects and proof of concept systems in domains including healthcare, smart assistants, education, and security.
Key Focus Areas
- Natural Language and Speech Signal Processing
- Computational Linguistics
- Conversational Artificial Intelligence
- Transformer-based Language Models
- Multimodal Speech Text Systems
- Explainable and Ethical NLP
Research Publications
- H. Kar and P. Viswanathan, “Epsilon-Guided Spatiotemporal Transformer: An Exponential Error Reduction for Multi-Memory Multilingual Sign Interpreter” in IEEE Open Journal of the Computer Society, vol. 6, no. 01, pp. 1884-1895, 2025, doi: 10.1109/OJCS.2025.3629116.
- Gh Mohmad Dar, Radhakrishnan Delhibabu, Emotion Recognition in Kashmiri Speech: Evaluating Coefficient-Based Acoustic Features Using Bidirectional LSTM Networks,Procedia Computer Science, vol. 258, pp. 1909-1921, ISSN 1877-0509, 2025, https://doi.org/10.1016/j.procs.2025.04.442.
- Muzaffar Ahmad Dar, Jagalingam Pushparaj, Bi-directional LSTM-based isolated spoken word recognition for Kashmiri language utilizing Mel-spectrogram feature, Applied Acoustics, vol.231, 110505, ISSN 0003-682X, 2025. https://doi.org/10.1016/j.apa
- H. Siranjeevi, S. Venkatraman and S. P. Raja, “EBPGA: Extractive Text Summarization Using Binary Particle Swarm Optimization and Masked Genetic Algorithm,” in IEEE Transactions on Computational Social Systems, vol. 12, no. 6, pp. 4873-4885, 2025, doi: 10.1109/TCSS.2025.3583893.
- Harapriya kar, Viswanathan P, Nth layer Hierarchical Bidirectional LSTM sign language Interpretation for Hearing Impaired person, Procedia Computer Science, vol.258, 2025, pp. 3175-3183, ISSN 1877-0509, 2025. https://doi.org/10.1016/j.procs.2025.04.575
