| 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 | 32 | 2023 |
| A comparison of data augmentation methods in voice pathology detection F Javanmardi, SR Kadiri, P Alku Computer Speech & Language 83, 101552, 2024 | 19 | 2024 |
| Pre-trained models for detection and severity level classification of dysarthria from speech F Javanmardi, SR Kadiri, P Alku Speech Communication 158, 103047, 2024 | 14 | 2024 |
| 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 | 14 | 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 | 13 | 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 | 8 | 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, 2024 | 4 | 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 |
| Automatic Classification of Voice Disorders and Phonation Types from Speech Signals F Javanmardi Aalto University, 2024 | | 2024 |
| Generating speech in different speaking styles using WaveNet F Javanmardi | | 2020 |
Sudarsana Reddy KadiriUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu