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Manila Kodali

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • eess.AS2
ORCID 0000-0003-4594-4921

identity via Semantic Scholar / OpenAlex

most citedWav2vec-based Detection and Severity Level Classification of Dysarthria from Speech

51 citations · 56 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2023★ 51 cited

Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech

Farhad Javanmardi, Saska Tirronen, Manila Kodali +2

Automatic detection and severity level classification of dysarthria directly from acoustic speech signals can be used as a tool in medical diagnosis. In this work, the pre-trained…

eess.AS2023★ 5 cited

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

Sudarsana Reddy Kadiri, Manila Kodali, Paavo Alku

Developing objective methods for assessing the severity of Parkinson's disease (PD) is crucial for improving the diagnosis and treatment. This study proposes two sets of novel feat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.