HMM based isolated Kannada digit recognition system using MFCC. - H. Muralikrishna; Ananthakrishna Thalengala; Kumara Shama (ICACCI, 2013)

Spoken Language Identification Using Bidirectional LSTM Based LID Sequential Senones. - H. Muralikrishna; Pulkit Sapra; Anuksha Jain; Dileep Aroor Dinesh (ASRU, 2019)

Attention-Driven Projections for Soundscape Classification. - Dhanunjaya Varma Devalraju; H. Muralikrishna; Padmanabhan Rajan; Dileep Aroor Dinesh (INTERSPEECH, 2020)

Adversarially Trained Hierarchical Attention Network for Domain-Invariant Spoken Language Identification. - Urvashi Goswami; H. Muralikrishna; Aroor Dinesh Dileep; Veena Thenkanidiyoor (SPECOM (2), 2023)

Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN. - Manisha Naik Gaonkar; Veena Thenkanidiyoor; Dileep Aroor Dinesh; H. Muralikrishna (IEEE Access, 2024)

Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases. - Roshan Kumar; V. Srirama; Krishnaraj Chadaga; H. Muralikrishna; Niranjana Sampathila; Srikanth Prabhu; Rajagopala Chadaga (IEEE Access, 2024)

Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach. - Meera Radhakrishnan; Niranjana Sampathila; H. Muralikrishna; Swathi Katta S. (IEEE Access, 2024)

Corrections to "Advancing Ovarian Cancer Diagnosis Through Deep Learning and eXplainable AI: A Multiclassification Approach". - Meera Radhakrishnan; Niranjana Sampathila; H. Muralikrishna; Swathi Katta S. (IEEE Access, 2024)

Exploring Aggregated wav2vec 2.0 Features and Dual-Stream TDNN for Efficient Spoken Dialect Identification. - Ananya Angra; H. Muralikrishna; Dileep Aroor Dinesh; Veena Thenkanidiyoor (IEEE Access, 2025)