Madhu R. Kamble

Madhu R. Kamble

Eurecom

H-index: 15

Europe-France

About Madhu R. Kamble

Madhu R. Kamble, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Eurecom, specializes in the field of Spoof Speech Detection, Spech Processing, Speaker Recognition..

His recent articles reflect a diverse array of research interests and contributions to the field:

Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios

Quefrency Domain Features with Residual Networks for Spoof Speech Detection

Fisher Vectors for Biometric Presentation Attack Detection

Smoothed Teager Energy Cepstral Feature for Replay Attack Detection on Voice Assistants

Exploring auditory acoustic features for the diagnosis of covid-19

Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing

Dual-stream temporal convolutional neural network for voice presentation attack detection

The Impact of Room Acoustics on Replay Speech Signal

Madhu R. Kamble Information

University

Position

France

Citations(all)

741

Citations(since 2020)

681

Cited By

273

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

17

i10Index(since 2020)

16

Email

University Profile Page

Eurecom

Google Scholar

View Google Scholar Profile

Madhu R. Kamble Skills & Research Interests

Spoof Speech Detection

Spech Processing

Speaker Recognition.

Top articles of Madhu R. Kamble

Title

Journal

Author(s)

Publication Date

Ensemble of Incremental System Enhancements for Robust Speaker Diarization in Code-Switched Real-Life Audios

Raj Gohil

Ramya Viswanathan

Saurabh Agrawal

CM Vikram

Madhu R Kamble

...

2023/11/22

Quefrency Domain Features with Residual Networks for Spoof Speech Detection

Madhu R Kamble

2023/10/31

Fisher Vectors for Biometric Presentation Attack Detection

Lazaro Janier Gonzalez-Soler

Marta Gomez-Barrero

Jose Patino

Madhu Kamble

Massimiliano Todisco

...

2023/2/24

Smoothed Teager Energy Cepstral Feature for Replay Attack Detection on Voice Assistants

Madhu R Kamble

Anand Therattil

Hemant A Patil

M Ali Basha Shaik

Vikram Vij

2022/11/7

Exploring auditory acoustic features for the diagnosis of covid-19

Madhu R Kamble

Jose Patino

Maria A Zuluaga

Massimiliano Todisco

2022/5/23

Rawboost: A raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing

Hemlata Tak

Madhu Kamble

Jose Patino

Massimiliano Todisco

Nicholas Evans

2022/5/23

Dual-stream temporal convolutional neural network for voice presentation attack detection

Lazaro J Gonzalez-Soler

Marta Gomez-Barrero

Madhu Kamble

Massimiliano Todisco

Christoph Busch

2022/4/20

The Impact of Room Acoustics on Replay Speech Signal

Madhu R Kamble

Hemant A Patil

2022/12/11

End-to-end spectro-temporal graph attention networks for speaker verification anti-spoofing and speech deepfake detection

arXiv preprint arXiv:2107.12710

Hemlata Tak

Jee-weon Jung

Jose Patino

Madhu Kamble

Massimiliano Todisco

...

2021/7/27

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

arXiv preprint arXiv:2106.04423

Madhu R Kamble

Jose A Gonzalez-Lopez

Teresa Grau

Juan M Espin

Lorenzo Cascioli

...

2021/6/7

Design of spoof speech detection system: teager energy-based approach

Madhu R Kamble

2021

Teager energy subband filtered features for near and far-field automatic speech recognition

Madhu R Kamble

Shekhar Nayak

M Ali Basha Shaik

Shakti P Rath

Vikram Vij

...

2021/12/14

Privacy-Preserving Voice Anti-Spoofing Using Secure Multi-Party Computation.

Oubaïda Chouchane

Baptiste Brossier

Jorge Esteban Gamboa Gamboa

Thomas Lardy

Hemlata Tak

...

2021/8/30

Novel variable length teager energy profiles for replay spoof detection

energy

Madhu R Kamble

Hemant A Patil

2020

Combination of amplitude and frequency modulation features for presentation attack detection

Journal of Signal Processing Systems

Madhu R Kamble

Hemant A Patil

2020/8

Advances in anti-spoofing: from the perspective of ASVspoof challenges

APSIPA Transactions on Signal and Information Processing

Madhu R Kamble

Hardik B Sailor

Hemant A Patil

Haizhou Li

2020/1

Design of Voice Privacy System using Linear Prediction

Priyanka Gupta

Gauri P Prajapati

Shrishti Singh

Madhu R Kamble

Hemant A Patil

2020

Teager Energy Cepstral Coefficients for Classification of Normal vs. Whisper Speech

Kuldeep Khoria

Madhu R Kamble

Hemant A Patil

2020

Energy Separation Based Features for Replay Spoof Detection for Voice Assistant

Gauri P Prajapati

Madhu R Kamble

Hemant A Patil

2020

Amplitude and frequency modulation-based features for detection of replay spoof speech

Speech Communication

Madhu R Kamble

Hemlata Tak

Hemant A Patil

2020/12/1

See List of Professors in Madhu R. Kamble University(Eurecom)

Co-Authors

H-index: 76
Haizhou Li

Haizhou Li

National University of Singapore

H-index: 51
Nicholas Evans

Nicholas Evans

Eurecom

H-index: 37
Massimiliano Todisco

Massimiliano Todisco

Eurecom

H-index: 26
Antonio M. Peinado

Antonio M. Peinado

Universidad de Granada

H-index: 23
Maria A. Zuluaga

Maria A. Zuluaga

Eurecom

H-index: 19
Jose Patino

Jose Patino

Eurecom

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