Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers. - Farhad Javanmardi; Sudarsana Reddy Kadiri; Manila Kodali; Paavo Alku (INTERSPEECH, 2022)

Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals. - Sudarsana Reddy Kadiri; Farhad Javanmardi; Paavo Alku (INTERSPEECH, 2022)

Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech. - Farhad Javanmardi; Saska Tirronen; Manila Kodali; Sudarsana Reddy Kadiri; Paavo Alku (ICASSP, 2023)

Utilizing Wav2Vec In Database-Independent Voice Disorder Detection. - Saska Tirronen; Farhad Javanmardi; Manila Kodali; Sudarsana Reddy Kadiri; Paavo Alku (ICASSP, 2023)

Pre-trained models for detection and severity level classification of dysarthria from speech. - Farhad Javanmardi; Sudarsana Reddy Kadiri; Paavo Alku (Speech Commun., 2024)

A comparison of data augmentation methods in voice pathology detection. - Farhad Javanmardi; Sudarsana Reddy Kadiri; Paavo Alku (Comput. Speech Lang., 2024)

Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals. - Sudarsana Reddy Kadiri; Farhad Javanmardi; Paavo Alku (Comput. Speech Lang., 2024)

Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech. - Farhad Javanmardi; Sudarsana Reddy Kadiri; Paavo Alku (IEEE J. Biomed. Health Informatics, 2024)

Towards robust heart failure detection in digital telephony environments by utilizing transformer-based codec inversion. - Saska Tirronen; Farhad Javanmardi; Hilla Pohjalainen; Sudarsana Reddy Kadiri; Mittapalle Kiran Reddy; Pyry Helkkula; Kasimir Kaitue; Mikko Minkkinen; Heli Tolppanen; Tuomo Nieminen; Paavo Alku (Speech Commun., 2025)