Muralikrishna H
Orcid: 0000-0002-6340-4227Affiliations:
- Manipal Institute of Technology, Manipal Academy of Higher Education, Department of Electronics and Communication Engineering, Karnataka, India
According to our database1,
Muralikrishna H authored at least 19 papers
between 2013 and 2026.
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Bibliography
2026
Int. J. Speech Technol., March, 2026
Toward Low-Resource Hydroacoustic Signature-Based Ship Detection With Out-of-Domain Detection Capability.
IEEE Access, 2026
2025
Speech Enhancement for Electrolarynx Devices Using M-RLS: Intelligibility Improvement and Low-Power Hardware Feasibility.
IEEE Access, 2025
Efficient Romanian Dialect Identification in Low-Resource Conditions Using Transfer-Learning and Metric-Learning.
IEEE Access, 2025
Exploring Aggregated wav2vec 2.0 Features and Dual-Stream TDNN for Efficient Spoken Dialect Identification.
IEEE Access, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
Corrections to "Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach".
IEEE Access, 2024
Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach.
IEEE Access, 2024
Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases.
IEEE Access, 2024
Spoken Language Identification in Unseen Target Domain Using Centroid Similarity Loss With Adaptive Gradient Blending.
IEEE Access, 2024
Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN.
IEEE Access, 2024
2023
Exploring the Impact of Different Approaches for Spoken Dialect Identification of Konkani Language.
Proceedings of the Speech and Computer - 25th International Conference, 2023
Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification.
Proceedings of the Speech and Computer - 25th International Conference, 2023
2022
Spoken language identification in unseen channel conditions using modified within-sample similarity loss.
Pattern Recognit. Lett., 2022
2021
Noise-Robust Spoken Language Identification Using Language Relevance Factor Based Embedding.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Spoken Language Identification in Unseen Target Domain Using Within-Sample Similarity Loss.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
Spoken Language Identification Using Bidirectional LSTM Based LID Sequential Senones.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019
2013
Proceedings of the International Conference on Advances in Computing, 2013