Manila Kodali
Doctoral Researcher
Doctoral Researcher
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Forskningsgrupp
- Speech Communication Technology, Doctoral Researcher
Publikationer
AVID: A speech database for machine learning studies on vocal intensity
Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Kadiri
2024
Speech Communication
Investigating fine-tuning of pre-trained models for classification of vocal intensity category from speech signals
Manila Kodali, Sudarsana Kadiri, Paavo Alku
2024
Proceedings of Interspeech'24
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)
Severity classification of Parkinson's disease from speech using single frequency filtering-based features
Sudarsana Kadiri, Manila Kodali, Paavo Alku
2023
Proceedings of Interspeech'23
Automatic classification of the severity level of Parkinson’s disease: A comparison of speaking tasks, features, and classifiers
Manila Kodali, Sudarsana Kadiri, Paavo Alku
2023
Computer Speech and Language
Automatic classification of vocal intensity category from speech
Manila Kodali, Sudarsana Kadiri, Laura Laaksonen, Paavo Alku
2023
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’23)
Classification of vocal intensity category from speech using the wav2vec2 and whisper embeddings
Manila Kodali, Sudarsana Kadiri, Paavo Alku
2023
Proceedings of Interspeech'23
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
Towards battery-less RF sensing
Manila Kodali, Le Ngu Nguyen, Stephan Sigg
2021
2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2021