M.L. (Matt) Coler, PhD

Associate Professor + Director of the MSc. Voice Technology

Campus Fryslân

Telephone:

+31 58 205 5103

E-mail:

m.coler rug.nl

Homepage ORCID Research Portal

Publications

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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-Sept-2024, Proceedings of Interspeech 2024. ISCA, p. 1295-1299 5 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › 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 ed. AIP Conference proceedings, Vol. 54. 12 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

Everhardt, M. K., Sarampalis, A., Coler, M., Bașkent, D. & Lowie, W., 29-Jan-2024, (E-pub ahead of print) In: Language and speech. 18 p.

Research output: Contribution to journal › Article › Academic › peer-review

A contrastive study on the representation of “Made in China” in Chinese and U.S. newspapers

Wang, Y., Coler, M. & Redeker, G., 16-Mar-2023, In: Frontiers in Communication. 8, 15 p., 1129376.

Research output: Contribution to journal › Article › Academic › peer-review

Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations

Nguyen, L. M., Nayak, S. & Coler, M., 2023, 2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 792-797 6 p. (2022 IEEE Spoken Language Technology Workshop, SLT 2022 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

All (82) publications

Press/Media: Expert Comment › Popular

All (34) press/media

View full research profile

M.L. (Matt) Coler, PhD

Publications

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

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

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

A contrastive study on the representation of “Made in China” in Chinese and U.S. newspapers

Improving Luxembourgish Speech Recognition with Cross-Lingual Speech Representations

Prosodic Focus Interpretation in Spectrotemporally Degraded Speech by Non-Native Listeners

Reimagining language Towards a better understanding of language by including our interactions with non-humans

Resource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages

SarcasticSpeech: Speech Synthesis for Sarcasm in Low-Resource Scenarios

Press/media

Every Time The Simpsons Predicted New Technology And Got It Right

Researchers Have Built an AI-Powered Sarcasm Detector

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

‘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?

Building a better sarcasm detector

Could AI algorithms understand sarcasm?

¿IA detectora de sarcasmo? Unos investigadores de Países Bajos están entrenando estos modelos y no es tan fácil como parece

Fast menschlich: Dieser Algorithmus versteht Sarkasmus