M.L. (Matt) Coler, PhD

UHD + Director, MSc. Voice Technology

Campus Fryslân

Telefoon:

058 205 5103

E-mail:

m.coler rug.nl

Homepage ORCID Research Portal

Publicaties

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection

Raghuvanshi, D., Gao, X., Li, Z., Bansal, S., Coler, M., Kumar, N. & Nayak, S., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (uitgave). IEEE, 5 blz. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Onderzoeksoutput: Conference contribution › › peer review

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

Li, Z., Gao, X., Zhang, Y., Nayak, S. & Coler, M., 1-sep.-2024, Proceedings of Interspeech 2024. ISCA, blz. 1070-1074 5 blz.

Onderzoeksoutput: Conference contribution ›

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

Li, Z., Gao, X., Zhang, Y., Nayak, S. & Coler, M., 27-aug.-2024, (Submitted) arXiv, 5 blz.

Onderzoeksoutput: Voordruk ›

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Gao, X., Bansal, S., Gowda, K., Li, Z., Nayak, S., Kumar, N. & Coler, M., 13-dec.-2024, (Submitted) arXiv, 13 blz.

Onderzoeksoutput: Voordruk ›

Aymara

Coler, M., dec.-2024, The Oxford Guide to the Languages of the Central Andes. Urban , M. (uitgave). Oxford Academic, blz. 219-244 26 blz.

Onderzoeksoutput: Chapter › › peer review

Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data

Leivaditi, S., Matsushima, T., Coler, M., Nayak, S. & Verkhodanova, V., 1-sep.-2024, Proceedings of Interspeech 2024. ISCA, blz. 1295-1299 5 blz.

Onderzoeksoutput: Conference contribution › › peer review

Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments

Gao, X., Nayak, S. & Coler, M., 31-jul.-2024, Proceedings of Meetings on Acoustics. 1 uitgave AIP Conference proceedings, Vol. 54. 12 blz.

Onderzoeksoutput: Conference contribution › › peer review

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Pers / media: Expert Comment ›

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M.L. (Matt) Coler, PhD

Publicaties

Intra-modal Relation and Emotional Incongruity Learning using Graph Attention Networks for Multimodal Sarcasm Detection

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

A Functional Trade-off between Prosodic and Semantic Cues in Conveying Sarcasm

AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bi-modal Data Augmentation

Aymara

Fine-Tuning Strategies for Dutch Dysarthric Speech Recognition: Evaluating the Impact of Healthy, Disease-Specific, and Speaker-Specific Data

Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments

Jaqaru

Lexical Stress Identification in Cochlear Implant-Simulated Speech by Non-Native Listeners

Meta Learning Text-to-Speech Synthesis in over 7000 Languages

Pers/media

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Researchers Have Built an AI-Powered Sarcasm Detector

Des chercheurs néerlandais améliorent la détection du sarcasme grâce à une approche multimodale

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‘Emotional AI’ fights with problems

Are you 80% angry and 2% sad? Why ‘emotional AI’ is fraught with problems | Artificial intelligence (AI)

Why Does Google's Latest Experimental Search Tool Feature Make Bizarre Suggestions Like Eating Rocks?