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Madhu R. Kamble

3 papers hereh-index 151.1k citations41 works total

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

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.SD2
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedEnd-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

8 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SD2022

Exploring auditory acoustic features for the diagnosis of the Covid-19

Madhu R. Kamble, Jose Patino, Maria A. Zuluaga +1

The current outbreak of a coronavirus, has quickly escalated to become a serious global problem that has now been declared a Public Health Emergency of International Concern by the…

eess.AS2021★ 8 cited

End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection

Hemlata Tak, Jee-weon Jung, Jose Patino +3

Artefacts that serve to distinguish bona fide speech from spoofed or deepfake speech are known to reside in specific subbands and temporal segments. Various approaches can be used…

cs.SD2021

PANACEA cough sound-based diagnosis of COVID-19 for the DiCOVA 2021 Challenge

Madhu R. Kamble, Jose A. Gonzalez-Lopez, Teresa Grau +11

The COVID-19 pandemic has led to the saturation of public health services worldwide. In this scenario, the early diagnosis of SARS-Cov-2 infections can help to stop or slow the spr…

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