Manila Kodali

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10 Conference article in proceedings
3 Article

The machine learning-based prediction of the sound pressure level from pathological and healthy speech signals
Kodali, M., Kadiri, S., Narayanan, S. & Alku, P., 13 Mar 2025, In: Journal of the Acoustical Society of America. 157, 3, p. 1726-1741 16 p.
Research output: Contribution to journal › Article › Scientific › peer-review
55 Downloads (Pure)
Wavelet scattering network features for intensity category classification and prediction of SPL from speech
Kodali, M., Kadiri, S., Narayanan, S. & Alku, P., 2025, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’25). Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). IEEE, 5 p. ( Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
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2 Downloads (Pure)
AVID: A speech database for machine learning studies on vocal intensity
Alku, P., Kodali, M., Laaksonen, L. & Kadiri, S., Feb 2024, In: Speech Communication. 157, 11 p., 103039.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
4 Citations (Scopus)

51 Downloads (Pure)
Fine-tuning of pre-trained models for classification of vocal intensity category from speech signals
Kodali, M., Kadiri, S. & Alku, P., 2024, Interspeech 2024. International Speech Communication Association (ISCA), p. 482-486 5 p. (Interspeech).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Open Access
File
2 Citations (Scopus)

37 Downloads (Pure)
Automatic classification of the severity level of Parkinson’s disease: A comparison of speaking tasks, features, and classifiers
Kodali, M., Kadiri, S. & Alku, P., Oct 2023, In: Computer Speech and Language. 83, 15 p., 101548.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
12 Citations (Scopus)

73 Downloads (Pure)

AVID: Aalto Vocal Intensity Database
Alku, P. (Creator), Kodali, M. (Creator) & Kadiri, S. R. (Creator), Zenodo, 18 May 2023
DOI: 10.5281/zenodo.7948299, https://zenodo.org/record/7948300 and one more link, https://zenodo.org/records/10524873 (show fewer)
Dataset

Studies from Aalto University Reveal New Findings on Parkinson's Disease (Automatic Classification of the Severity Level of Parkinson's Disease: a Comparison of Speaking Tasks, Features, and Classifiers)
Alku, P. & Kodali, M.
28/09/2023
1 item of Media coverage
Press/Media: Media appearance

Manila Kodali

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Collaborations and top research areas from the last five years

Dive into details

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

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

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

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

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

AVID: Aalto Vocal Intensity Database

Studies from Aalto University Reveal New Findings on Parkinson's Disease (Automatic Classification of the Severity Level of Parkinson's Disease: a Comparison of Speaking Tasks, Features, and Classifiers)

Manila Kodali

Fingerprint

Collaborations and top research areas from the last five years

Research output

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

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

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

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

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

Datasets

AVID: Aalto Vocal Intensity Database

Press/Media

Studies from Aalto University Reveal New Findings on Parkinson's Disease (Automatic Classification of the Severity Level of Parkinson's Disease: a Comparison of Speaking Tasks, Features, and Classifiers)