Ihmiset

Manila Kodali

Doctoral Researcher

T412 Department of Information and Communications Engineering

Full researcher profile

https://research.aalto.fi/...

Sähköposti

[email protected]

Tutkimusryhmät

Speech Communication Technology, Doctoral Researcher

Julkaisut

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 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