Shrikanth Narayanan
Identifiers
- name variant Shrikanth Narayanan 0.60 · backfill
Papers (21)
- ChildVox: A Speech, Audio, and Large Audio-Language Model Benchmark in Understanding and Characterizing Sound across Childhood cs.SD · 2026 · author #13
- A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models cs.LG · 2026 · author #5
- Aperiodic and Low-Frequency Spectral Bias in Reconstruction based EEG Foundation Models cs.LG · 2026 · author #10
- The False Resonance: A Critical Examination of Emotion Embedding Similarity for Speech Generation Evaluation eess.AS · 2026 · author #7
- Looking Into the Past: Eye Movements Characterize Elements of Autobiographical Recall in Interviews with Holocaust Survivors cs.MM · 2026 · author #5
- Smiling Regulates Emotion During Traumatic Recollection cs.MM · 2026 · author #10
- Exploring Speech Foundation Models for Speaker Diarization Across Lifespan eess.AS · 2026 · author #3
- Targeted Speaker Poisoning Framework in Zero-Shot Text-to-Speech cs.SD · 2026 · author #4
- Tracing Moral Foundations in Large Language Models cs.CL · 2026 · author #6
- Community-Informed AI Models for Police Accountability cs.CY · 2024 · author #16
- Towards Adapting NMF Dictionaries Using Total Variability Modeling for Noise-Robust Acoustic Features eess.AS · 2019 · author #4
- Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance cs.CL · 2019 · author #6
- On evaluating CNN representations for low resource medical image classification eess.IV · 2019 · author #3
- Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction cs.LG · 2018 · author #3
- Measuring Conversational Productivity in Child Forensic Interviews cs.CL · 2018 · author #5
- Semi-supervised and Transfer learning approaches for low resource sentiment classification cs.IR · 2018 · author #4
- Towards an Unsupervised Entrainment Distance in Conversational Speech using Deep Neural Networks eess.AS · 2018 · author #3
- Shaking Acoustic Spectral Sub-bands Can Better Regularize Learning in Affective Computing cs.SD · 2018 · author #2
- NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning cs.CL · 2018 · author #7
- Irregularity-Aware Graph Fourier Transforms eess.SP · 2018 · author #3
- Inferring object rankings based on noisy pairwise comparisons from multiple annotators stat.ML · 2016 · author #2
Mentions
- 2603.07551 #4 · arxiv_oai · confidence 0.70 Shrikanth Narayanan
- 2605.29257 #13 · arxiv_oai · confidence 0.70 Shrikanth Narayanan
- 2605.28563 #5 · arxiv_oai · confidence 0.70 Shrikanth Narayanan
- 2605.26434 #10 · arxiv_oai · confidence 0.70 Shrikanth Narayanan
- 2604.05201 #3 · arxiv_oai · confidence 0.70 Shrikanth Narayanan
- 2601.05437 #6 · arxiv_oai · confidence 0.70 Shrikanth Narayanan
Frequent Coauthors
- Tiantian Feng 5 shared papers
- Aditya Kommineni 4 shared papers
- Emily Zhou 4 shared papers
- Kleanthis Avramidis 4 shared papers
- Rahul Gupta 3 shared papers
- Anfeng Xu 2 shared papers
- Brian Baucom 2 shared papers
- Marcus Ma 2 shared papers
- Md Nasir 2 shared papers
- Morteza Dehghani 2 shared papers
- Panayiotis Georgiou 2 shared papers
- Alexandra Chronopoulou 1 shared papers
- Alexandros Potamianos 1 shared papers
- Alina Bothe 1 shared papers
- Amir Ghasemian 1 shared papers
- Andreas Peter Juhl Hansen 1 shared papers
- Antonio Ortega 1 shared papers
- Athanasia Kolovou 1 shared papers
- Benjamin A.T. Graham 1 shared papers
- Benjamin Girault 1 shared papers