Papers by Uthayasanker Thayasivam
Quality-Aware Adversarial Ensemble for Singer Identification in 1960s Tamil Film Music (2026.eacl-srw)
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| Challenge: | 1960s Tamil film music lacks adequate metadata identifying playback singers in archival recordings. |
| Approach: | They propose a quality-aware adversarial ensemble approach based on variable audio degradation and instrumentation leakage confounding singer-specific features. |
| Outcome: | The proposed approach achieves 96.2% accuracy and 2.0% EER on a held-out test set of 52 clips. |
Graph Based Semi-Supervised Learning Approach for Tamil POS tagging (L18-1)
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| Challenge: | Parts of Speech (POS) tagging is challenging for low resourced languages such as Tamil . low resource Tamil does not have large POS annotated corpus to build good quality POS taggers using supervised machine learning techniques. |
| Approach: | They propose a graph-based semi-supervised learning approach to classify unlabelled data using a small POS labelled data set. |
| Outcome: | The proposed method achieves 0.8743 over 0.7333 produced by a CRF tagger for the same limited size corpus. |
Transfer Learning Based Free-Form Speech Command Classification for Low-Resource Languages (P19-2)
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| Challenge: | Current speech-based user interfaces use data intensive methodologies to recognize free-form speech commands, but this is not viable for low-resource languages, which lack speech data. |
| Approach: | They propose a method to develop a domain-specific speech command classification system using speech data from a high-resource language. |
| Outcome: | The proposed system is robust to low-resource languages with limited speech data . the proposed system achieves significant results for Sinhala and Tamil datasets . |