Manila Kodali

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Microcalcification Clusters

Feature Representations

Automatic Classification

Machine Learning

Top Venues

Publications

Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Reddy Kadiri
AVID: A speech database for machine learning studies on vocal intensity. Speech Commun. 157 (2024)
Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Automatic classification of the severity level of Parkinson's disease: A comparison of speaking tasks, features, and classifiers. Comput. Speech Lang. 83 (2024)
Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. INTERSPEECH (2023)
Saska Tirronen, Farhad Javanmardi, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Utilizing Wav2Vec In Database-Independent Voice Disorder Detection. ICASSP (2023)
Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features. CoRR (2023)
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Wav2vec-Based Detection and Severity Level Classification of Dysarthria From Speech. ICASSP (2023)
Farhad Javanmardi, Saska Tirronen, Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech. CoRR (2023)
Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings. INTERSPEECH (2023)
Manila Kodali, Sudarsana Reddy Kadiri, Laura Laaksonen, Paavo Alku
Automatic Classification of Vocal Intensity Category from Speech. ICASSP (2023)
Farhad Javanmardi, Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku
Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers. INTERSPEECH (2022)
Manila Kodali, Le Ngu Nguyen, Stephan Sigg
Towards battery-less RF sensing. PerCom Workshops (2021)
Dariush Salami, Sameera Palipana, Manila Kodali, Stephan Sigg
Motion Pattern Recognition in 4D Point Clouds. MLSP (2020)