Saska Tirronen — accepted AI-conference papers

2023

Utilizing Wav2Vec In Database-Independent Voice Disorder Detection

Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku

ICASSP 2023accepted

Automatic detection of voice disorders from acoustic speech signals can help to improve reliability of medical diagnosis. However, the real-life environment in which speech signals are recorded for diagnosis can be different from the environment in which the detection system’s training data was orig…

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2023

Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech

Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku

ICASSP 2023accepted

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 wav2vec 2.0 model is studied as a feature extractor to build detection and severity level classification systems for dys…

Cited by 0 Source ↗Scholar ↗