| Wav2vec-based detection and severity level classification of dysarthria from speech F Javanmardi, S Tirronen, M Kodali, SR Kadiri, P Alku ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 16 | 2023 |
| Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers F Javanmardi, S Kadiri, M Kodali, P Alku Interspeech, 2173-2177, 2022 | 12 | 2022 |
| Utilizing wav2vec in database-independent voice disorder detection S Tirronen, F Javanmardi, M Kodali, SR Kadiri, P Alku ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 9 | 2023 |
| A comparison of data augmentation methods in voice pathology detection F Javanmardi, SR Kadiri, P Alku Computer Speech & Language 83, 101552, 2023 | 4 | 2023 |
| Pre-trained models for detection and severity level classification of dysarthria from speech F Javanmardi, SR Kadiri, P Alku Speech Communication 158, 103047, 2024 | 3 | 2024 |
| Convolutional neural networks for classification of voice qualities from speech and neck surface accelerometer signals S Kadiri, F Javanmardi, P Alku Interspeech, 5253-5257, 2022 | 3 | 2022 |
| Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech F Javanmardi, SR Kadiri, P Alku IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
| Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals SR Kadiri, F Javanmardi, P Alku Computer Speech & Language 83, 101550, 2023 | | 2023 |
| Generating speech in different speaking styles using WaveNet F Javanmardi | | 2020 |
Sudarsana Reddy KadiriUniversity of Southern California在 usc.edu 的电子邮件经过验证
