Farhad Javanmardi
Postdoctoral Researcher
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...
Sähköposti
farhad.javanmardi@aalto.fi
Postiosoite
Konemiehentie 1
02150 Espoo
Finland
Puhelinnumero
+358503411145
Tutkimusryhmät
- Speech Communication Technology, Postdoctoral Researcher
Julkaisut
Towards robust heart failure detection in digital telephony environments by utilizing transformer-based codec inversion
Saska Tirronen, Farhad Javanmardi, Hilla Pohjalainen, Sudarsana Reddy Kadiri, Kiran Reddy Mittapalle, Pyry Helkkula, Kasimir Kaitue, Mikko Minkkinen, Heli Tolppanen, Tuomo Nieminen, Paavo Alku
2025
Speech Communication
Automatic Classification of Voice Disorders and Phonation Types from Speech Signals
Farhad Javanmardi
2024
Exploring the Impact of Fine-Tuning the Wav2vec2 Model in Database-Independent Detection of Dysarthric Speech
Farhad Javanmardi, Sudarsana Kadiri, Paavo Alku
2024
IEEE Journal of Biomedical and Health Informatics
Pre-trained Models for Detection and Severity Level Classification of Dysarthria from Speech
Farhad Javanmardi, Sudarsana Kadiri, Paavo Alku
2024
Speech Communication
A Comparison of Data Augmentation Methods in Voice Pathology Detection
Farhad Javanmardi, Sudarsana Kadiri, Paavo Alku
2023
Computer Speech and Language
WAV2VEC-based detection and severity level classification of dysarthria from speech
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Kadiri, Paavo Alku
2023
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’23)
Investigation of Self-supervised Pre-trained Models for Classification of Voice Quality from Speech and Neck Surface Accelerometer Signals
Sudarsana Kadiri, Farhad Javanmardi, Paavo Alku
2023
Computer Speech and Language
Utilizing WAV2VEC in database-independent voice disorder detection
Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Kadiri, Paavo Alku
2023
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’23)
Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers
Farhad Javanmardi, Sudarsana Kadiri, Manila Kodali, Paavo Alku
2022
INTERSPEECH 2022
Convolutional Neural Networks for Classification of Voice Qualities from Speech and Neck Surface Accelerometer Signals
Sudarsana Kadiri, Farhad Javanmardi, Paavo Alku
2022
Proceedings of Interspeech'22