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 first author
| 1 | 2 |
A
| Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches, and , in: Interspeech, 2024 |
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| Suppressing Noise Disparity in Training Data for Automatic Pathological Speech Detection, and , in: IWAENC, 2024 |
| Test-time adaptation for automatic pathological speech detection in noisy environments, and , in: EUSIPCO, 2024 |
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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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B
| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
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C
| Experimental evaluation of speech enhancement methods in remote microphone systems for hearing aids, , , , and , in: Proc. EuroNoise 2018, Crete, Greece, pages 351-358, 2018 |
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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] |
| Differentiation of motor speech disorders through the seven deviance scores from MonPaGe-2.0.s, , and , in: Brain Sciences, 12(11):1471-1487, 2022 |
H
| Variational Autoencoder for Personalized Pathological Speech Enhancement, and , in: European Signal Processing Conference, 2025 |
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
| Towards interpretable emotion recognition: Identifying key features with machine learning, and , in: Forum Acusticum/EuroNoise, Malaga, Spain, 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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| 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 |
| Statistical modeling of speech spectral coefficients in patients with Parkinson's disease, and , in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 2018 |
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| Single-channel late reverberation power spectral density estimation using denoising autoencoders, and , in: Proc. Annual Conference of the International Speech Communication Association, Hyderabad, India, 2018 |
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| Joint late reverberation and noise power spectral density estimation in a spatially homogeneous noise field, and , in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 441-445, 2018 |
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| Analysis of eigenvalue decomposition-based late reverberation power spectral density estimation, and , in: IEEE Transaction on Acoustics, Speech and Language Processing, 26(6):1106-1118, 2018 |
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| Improving the conditioning of the optimization criterion in acoustic multi-channel equalization using shorter reshaping filters, and , in: EURASIP Journal on Advances in Signal Processing(11), 2018 |
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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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| Automatic Discrimination of Apraxia of Speech and Dysarthria using a Minimalistic Set of Handcrafted Features, , , and , in: Interspeech, 2020 |
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| 1 | 2 |