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
| 1 | 2 |
A
| Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches, and , in: Interspeech, 2024 |
|
| Adversarial-free speaker identity-invariant representation learning for automatic dysarthric speech classification, and , in: Annual Conference of the International Speech Communication Association, 2022 |
|
| 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 |
|
| Automatic and perceptual discrimination between dysarthria, apraxia of speech, and neurotypical speech, , , and , in: IEEE International Conference on Acoustics, Speech and Signal Processing, 2021 |
|
| Automatic Discrimination of Apraxia of Speech and Dysarthria using a Minimalistic Set of Handcrafted Features, , , and , in: Interspeech, 2020 |
|
| AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS, , and , Idiap-RR-32-2020 |
|
| 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 |
|
| 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] |
C
| 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] |
| Complexity reduction of eigenvalue decomposition-based diffuse power spectral density estimators using the power method, , and , in: Proc. International Conference on Acoustics, Speech, and Signal Processing, Calgary, Canada, pages 451-455, 2018 |
|
D
| Differentiation of motor speech disorders through the seven deviance scores from MonPaGe-2.0.s, , and , in: Brain Sciences, 12(11):1471-1487, 2022 |
E
| ERP Signals During Speech Articulation: Does Auditory Feedback Mask Other Ongoing Cognitive-motor Processes?, , and , in: Brain Topography, 38(5), 2025 |
| Experimental evaluation of speech enhancement methods in remote microphone systems for hearing aids, , , , and , in: Proc. EuroNoise 2018, Crete, Greece, pages 351-358, 2018 |
|
| Experimental investigation on STFT phase Representations for deep learning-based dysarthric speech detection, and , in: International Conference on Acoustics, Speech, and Signal Processing, 2022 |
|
| Exploring In-Context Learning Capabilities of ChatGPT for Pathological Speech Detection, , and , in: ITG Conference on Speech Communication, IEEE, 2025 |
|
G
| Graph Neural Networks for Parkinson's Disease Detection, , , and , in: International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, IEEE, 2025 |
|
I
| Idiap Scientific Report 2022, , , , , , , , , , , , , , , , , and , Idiap-RR-05-2023 |
|
| Impact of Speech Mode in Automatic Pathological Speech Detection, and , in: EUSIPCO, IEEE, 2024 |
[URL] |
| 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 |
|
| Iterative alternating least-aquares approach to jointly estimate the RETFs and the diffuse PSD, , and , in: Proc. ITG conference on Speech Communication, Oldenburg, Germany, 2018 |
|
J
| 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 |
| 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 |
|
L
| Latent Space Factorization in LoRA, , , , and , in: 39th Conference on Neural Information Processing Systems, 2025 |
[URL] |
M
| 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 |
|
| Multiview Canonical Correlation Analysis for Automatic Pathological Speech Detection, , and , in: International Conference on Acoustics, Speech and Signal Processing, Hyderabad, India, IEEE, 2025 |
|
O
| 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 |
|
P
| 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 |
|
| 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 |
S
| 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 |
|
| 1 | 2 |