Manila Kodali

Doctoral Researcher
Doctoral Researcher
T412 Department of Information and Communications Engineering
Full researcher profile
https://research.aalto.fi/...

Research groups

  • Speech Communication Technology, Doctoral Researcher

Publications

Automatic classification of vocal intensity categories from amplitude-normalized speech signals by comparing acoustic features and classifier models

Manila Kodali, Luna Ansari, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2025 Speech Communication

The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals

Manila Kodali, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2025 Journal of the Acoustical Society of America

Wavelet scattering network features for intensity category classification and prediction of SPL from speech

Manila Kodali, Sudarsana Kadiri, Shrikanth Narayanan, Paavo Alku 2025 Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’25)

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

Paavo Alku, Manila Kodali, Laura Laaksonen, Sudarsana Kadiri 2024 Speech Communication

Fine-tuning of pre-trained models for classification of vocal intensity category from speech signals

Manila Kodali, Sudarsana Kadiri, Paavo Alku 2024 Interspeech 2024

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 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)