51 citations · 63 across the 2 of their papers we have counts for
2 papers
eess.AS2023★ 51 cited
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech
Farhad Javanmardi, Saska Tirronen, Manila Kodali +2
Automatic detection and severity level classification of dysarthria directly from acoustic speech signals can be used as a tool in medical diagnosis. In this work, the pre-trained…
eess.AS2023★ 12 cited
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
Prior studies in the automatic classification of voice quality have mainly studied the use of the acoustic speech signal as input. Recently, a few studies have been carried out by…