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 |
Motion pattern recognition in 4d point clouds D Salami, S Palipana, M Kodali, S Sigg 2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020 | 13 | 2020 |
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 |
Classification of vocal intensity category from speech using the wav2vec2 and whisper embeddings M Kodali, S Kadiri, P Alku Interspeech, 4134-4138, 2023 | 5 | 2023 |
Automatic classification of vocal intensity category from speech M Kodali, SR Kadiri, L Laaksonen, P Alku ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
Automatic classification of the severity level of Parkinson’s disease: A comparison of speaking tasks, features, and classifiers M Kodali, SR Kadiri, P Alku Computer Speech & Language 83, 101548, 2023 | 2 | 2023 |
Automatic classification of vocal intensity category from speech M Kodali | 2 | 2021 |
Towards battery-less RF sensing M Kodali, S Sigg 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 1 | 2021 |
AVID: A speech database for machine learning studies on vocal intensity P Alku, M Kodali, L Laaksonen, SR Kadiri Speech Communication 157, 103039, 2024 | | 2024 |
Investigating fine-tuning of pre-trained models for classification of vocal intensity category from speech signals M Kodali, S Kadiri, P Alku Proceedings of Interspeech'24, 2024 | | 2024 |
Severity classification of Parkinson's disease from speech using single frequency filtering-based features SR Kadiri, M Kodali, P Alku arXiv preprint arXiv:2308.09042, 2023 | | 2023 |