Muralikrishna H

Employment

• Manipal Institute of Technology Assistant Professor

Education

• Indian Institute of Technology Mandi PhD
  2018 - 2023
• Manipal Institute of Technology M.Tech

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Toward Low-Resource Hydroacoustic Signature-Based Ship Detection With Out-of-Domain Detection Capability
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3654259
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• Spoken language identification system for detecting coastal karnataka languages using transfer learning and multi-view learning
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/ae2fac
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• Exploring layer-wise features of whisper and wav2vec 2.0 models and their aggregation for infant cry classification in low-resource conditions
  International Journal of Information Technology 2025 DOI: 10.1007/s41870-025-02992-1
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• Detection of breast cancer using machine learning and explainable artificial intelligence
  Scientific Reports 2025 DOI: 10.1038/s41598-025-12644-w
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• Efficient Romanian Dialect Identification in Low-Resource Conditions Using Transfer-Learning and Metric-Learning
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3639300
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• Exploring Aggregated wav2vec 2.0 Features and Dual-Stream TDNN for Efficient Spoken Dialect Identification
  IEEE Access 2025 DOI: 10.1109/ACCESS.2024.3523951
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• Hierarchical Loss for Bi-Level Classification of Speech into Language and Dialects
  ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings 2025 DOI: 10.1109/ICASSP49660.2025.10887667
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• Speech Enhancement for Electrolarynx Devices Using M-RLS: Intelligibility Improvement and Low-Power Hardware Feasibility
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3605590
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• Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3422380
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• Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3516045
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