Publications of MOSPEEDI sorted by first author
F
| Comparison of 5 methods for the evaluation of intelligibility in mild to moderate French dysarthric speech, , , , , , , , , and , in: Annual Conference of the International Speech Communication Association, pages 2188-2192, 2022 |
[DOI] |
J
| Experimental investigation on STFT phase Representations for deep learning-based dysarthric speech detection, and , in: International Conference on Acoustics, Speech, and Signal Processing, 2022 |
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| Adversarial-free speaker identity-invariant representation learning for automatic dysarthric speech classification, and , in: Annual Conference of the International Speech Communication Association, 2022 |
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| Supervised Speech Representation Learning for Parkinson's Disease Classification, and , Idiap-RR-08-2021 |
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| Supervised Speech Representation Learning for Parkinson's Disease Classification, and , in: ITG Conference on Speech Communication, 2021 |
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| AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, , and , in: 45th International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, pages 7328–7332, 2021 |
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| SYNTHETIC SPEECH REFERENCES FOR AUTOMATIC PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT, , and , in: International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2020 |
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| Automatic pathological speech intelligibility assessment exploiting subspace-based analyses, , and , in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1717 - 1728, 2020 |
[DOI] |
| AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, , and , Idiap-RR-32-2020 |
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| Subspace-based Learning for Automatic Dysarthric Speech Detection, , and , in: IEEE Signal Processing Letters, 2020 |
| PATHOLOGICAL SPEECH INTELLIGIBILITY ASSESSMENT BASED ON THE SHORT-TIME OBJECTIVE INTELLIGIBILITY MEASURE, , and , in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, pages 6405--6409, 2019 |
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| Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility, , and , in: Proceedings of Interspeech, Graz, Austria, pages 3038--3042, 2019 |
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K
| Temporal envelope and fine structure cues for dysarthric speech detection using convolutional neural networks, , in: IEEE Signal Processing Letters, 2021 |
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| Spectro-temporal sparsity characterization for dysarthric speech detection, and , in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28:1210-1222, 2020 |
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| Super-gaussianity of Speech Spectral Coefficients as a Potential Biomarker for Dysarthric Speech Detection, and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2019 |
| Automatic and perceptual discrimination between dysarthria, apraxia of speech, and neurotypical speech, , , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2021 |
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P
| Perceptual classification of motor speech disorders: the role of severity, speech task, and listener's expertise, , , and , in: Journal of Speech, Language, and Hearing Research, 2022 |