Keywords:
- assessment method
- Cerebral Palsy
- ChatGPT
- clinical application
- deep learning
- distance measures
- Dysarthria
- Emotion Recognition
- fvae-lora
- Graph Convolutional Networks
- Grassmannian discriminant analysis
- Important Features
- In-context learning
- intelligibility
- Interpretability
- intra-speaker variability
- intrinsic acoustic features
- Large Language Model (LLM)
- latent space factorization
- LoRA
- low-rank adaptation
- MCCA
- neurodegenerative speech disorders
- noise reduction
- P-ESTOI
- Parkinson's disease
- Parkinson’s disease
- pathological speakers
- Pathological speech
- pathological speech detection
- reliability
- Spectral subspace
- Speech enhancement
- speech processing
- spurious correlation robustness
- SVD
- temporal subspace
- TTS
Publications of Ina Kodrasi sorted by recency
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| Latent Space Factorization in LoRA, , , , and , in: 39th Conference on Neural Information Processing Systems, 2025 |
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| ERP Signals During Speech Articulation: Does Auditory Feedback Mask Other Ongoing Cognitive-motor Processes?, , and , in: Brain Topography, 38(5), 2025 |
| Towards interpretable emotion recognition: Identifying key features with machine learning, and , in: Forum Acusticum/EuroNoise, Malaga, Spain, 2025 |
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| Overview of Automatic Speech Analysis and Technologies for Neurodegenerative Disorders: Diagnosis and Assistive Applications, , and , in: IEEE Journal of Selected Topics in Signal Processing, 2025 |
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| Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection, , and , in: International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, IEEE, 2025 |
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| Graph Neural Networks for Parkinson's Disease Detection, , , and , in: International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, IEEE, 2025 |
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| Exploring In-Context Learning Capabilities of ChatGPT for Pathological Speech Detection, , and , in: ITG Conference on Speech Communication, IEEE, 2025 |
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| Variational Autoencoder for Personalized Pathological Speech Enhancement, and , in: European Signal Processing Conference, 2025 |
| Impact of Speech Mode in Automatic Pathological Speech Detection, and , in: EUSIPCO, IEEE, 2024 |
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| Test-time adaptation for automatic pathological speech detection in noisy environments, and , in: EUSIPCO, 2024 |
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| Suppressing Noise Disparity in Training Data for Automatic Pathological Speech Detection, and , in: IWAENC, 2024 |
| Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches, and , in: Interspeech, 2024 |
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| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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| Differentiation of motor speech disorders through the seven deviance scores from MonPaGe-2.0.s, , and , in: Brain Sciences, 12(11):1471-1487, 2022 |
| 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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| 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 |
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| 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 |
| 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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| Temporal envelope and fine structure cues for dysarthric speech detection using convolutional neural networks, , in: IEEE Signal Processing Letters, 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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| Multi-task Single Channel Speech Enhancement Using Speech Presence Probability As A Secondary Task Training Target, , and , in: European Signal Processing Conference, EUSIPCO 2021, 2021 |
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| Supervised Speech Representation Learning for Parkinson's Disease Classification, and , Idiap-RR-08-2021 |
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| 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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| Subspace-based Learning for Automatic Dysarthric Speech Detection, , and , in: IEEE Signal Processing Letters, 2020 |
| 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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| AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, , and , Idiap-RR-32-2020 |
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| Automatic Discrimination of Apraxia of Speech and Dysarthria using a Minimalistic Set of Handcrafted Features, , , and , in: Interspeech, 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 |
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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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| Joint estimation of RETF vector and power spectral densities for speech enhancement based on alternating least squares, , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, pages 795--799, 2019 |
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