Manila Kodali

According to our database, Manila Kodali authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Automatic classification of the severity level of Parkinson's disease: A comparison of speaking tasks, features, and classifiers.

Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku

Comput. Speech Lang., January, 2024

AVID: A speech database for machine learning studies on vocal intensity.

Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Reddy Kadiri

Speech Commun., 2024

2023

Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings.

Manila Kodali, Sudarsana Reddy Kadiri, Paavo Alku

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Severity Classification of Parkinson's Disease from Speech using Single Frequency Filtering-based Features.

Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Utilizing Wav2Vec In Database-Independent Voice Disorder Detection.

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

Proceedings of the IEEE International Conference on Acoustics, 2023

Automatic Classification of Vocal Intensity Category from Speech.

Manila Kodali, Sudarsana Reddy Kadiri, Laura Laaksonen, Paavo Alku

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Comparing 1-dimensional and 2-dimensional spectral feature representations in voice pathology detection using machine learning and deep learning classifiers.

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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Towards battery-less RF sensing.

Manila Kodali, Le Ngu Nguyen, Stephan Sigg

Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

2020

Motion Pattern Recognition in 4D Point Clouds.

Dariush Salami, Sameera Palipana, Manila Kodali, Stephan Sigg

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020