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Mathew Magimai-Doss
First name(s): Mathew
Last name(s): Magimai-Doss
Email: mathew@idiap.ch

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Publications of Mathew Magimai-Doss
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2025
Automatic Parkinson's disease detection from speech: Layer selection vs adaptation of foundation models, Tilak Purohit, Barbara Ruvolo, Juan Rafael Orozco-Arroyave and Mathew Magimai-Doss, in: Proceedings of IEEE International Conference Acoustics, Speech, and Signal Processing (ICASSP), 2025
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Emotion information recovery potential of wav2vec2 network fine-tuned for speech recognition task, Tilak Purohit and Mathew Magimai-Doss, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
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Towards Dynamic Skeleton-based Handshape Subunits for Sign Language Assessment, Sandrine Tornay and Mathew Magimai-Doss, in: Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
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2024
COMPARING DATA-DRIVEN AND HANDCRAFTED FEATURES FOR DIMENSIONAL EMOTION RECOGNITION, Bogdan Vlasenko, Sargam Vyas and Mathew Magimai-Doss, in: International Conference on Acoustics, Speech and Signal Processing, 2024
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Feature Representations for Automatic Meerkat Vocalization Classification, Imen Ben Mahmoud, Eklavya Sarkar, Marta Manser and Mathew Magimai-Doss, in: 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, 2024
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On the Utility of Speech and Audio Foundation Models for Marmoset Call Analysis, Eklavya Sarkar and Mathew Magimai-Doss, in: 4th International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots, 2024
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Predicting Heart Activity from Speech using Data-driven and Knowledge-based features, Gasser Elbanna, Zohreh Mostaani and Mathew Magimai-Doss, in: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2024
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2023
Towards learning emotion information from short segments of speech, Tilak Purohit, Sarthak Yadav, Bogdan Vlasenko, S. Pavankumar Dubagunta and Mathew Magimai-Doss, in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, IEEE, 2023
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2022
Comparing supervised and self-supervised embedding for ExVo Multi-Task learning track, Tilak Purohit, Imen Ben Mahmoud, Bogdan Vlasenko and Mathew Magimai-Doss, in: Proceedings of the ICML Expressive Vocalizations Workshop held in conjunction with the 39th International Conference on Machine Learning, Maryland, USA, 2022
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Towards Accessible Sign Language Learning and Assessment, Neha Tarigopula, Sandrine Tornay, Skanda Muralidhar and Mathew Magimai-Doss, in: ACM International Conference on Multimodal Interaction, Bangalore, INDIA, pages 626-631, 2022
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[DOI]
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