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 title
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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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| 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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| 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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| Subspace-based Learning for Automatic Dysarthric Speech Detection, , and , in: IEEE Signal Processing Letters, 2020 |
| 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 |
| 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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| Suppressing Noise Disparity in Training Data for Automatic Pathological Speech Detection, and , in: IWAENC, 2024 |
| 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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| Temporal envelope and fine structure cues for dysarthric speech detection using convolutional neural networks, , in: IEEE Signal Processing Letters, 2021 |
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| Test-time adaptation for automatic pathological speech detection in noisy environments, and , in: EUSIPCO, 2024 |
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| Towards interpretable emotion recognition: Identifying key features with machine learning, and , in: Forum Acusticum/EuroNoise, Malaga, Spain, 2025 |
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| Variational Autoencoder for Personalized Pathological Speech Enhancement, and , in: European Signal Processing Conference, 2025 |
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