Madhu R. Kamble

809 total citations
28 papers, 469 citations indexed

About

Madhu R. Kamble is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Madhu R. Kamble has authored 28 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Signal Processing, 24 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Madhu R. Kamble's work include Speech and Audio Processing (25 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (12 papers). Madhu R. Kamble is often cited by papers focused on Speech and Audio Processing (25 papers), Speech Recognition and Synthesis (23 papers) and Music and Audio Processing (12 papers). Madhu R. Kamble collaborates with scholars based in India, France and Singapore. Madhu R. Kamble's co-authors include Hemant A. Patil, Hemant A. Patil, Hardik B. Sailor, Hemlata Tak, Haizhou Li, Tanvina Patel, Meet Soni, José Patino, Massimiliano Todisco and Nicholas Evans and has published in prestigious journals such as Speech Communication, Computer Speech & Language and Journal of Signal Processing Systems.

In The Last Decade

Madhu R. Kamble

28 papers receiving 448 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Madhu R. Kamble India 13 418 394 70 63 26 28 469
Jichen Yang China 17 566 1.4× 505 1.3× 187 2.7× 48 0.8× 45 1.7× 49 681
Rosa González Hautamäki Finland 9 278 0.7× 276 0.7× 40 0.6× 28 0.4× 15 0.6× 15 323
Federico Alegre France 6 499 1.2× 504 1.3× 66 0.9× 53 0.8× 24 0.9× 10 579
А. С. Сизов Finland 9 597 1.4× 605 1.5× 118 1.7× 51 0.8× 43 1.7× 25 706
Xiaohai Tian Singapore 13 426 1.0× 469 1.2× 47 0.7× 37 0.6× 19 0.7× 41 515
Hemlata Tak France 10 472 1.1× 461 1.2× 182 2.6× 51 0.8× 15 0.6× 19 592
Tanvina Patel India 9 301 0.7× 318 0.8× 38 0.5× 39 0.6× 24 0.9× 27 349
Sergey Novoselov Russia 9 333 0.8× 324 0.8× 75 1.1× 19 0.3× 7 0.3× 24 398
Galina Lavrentyeva Russia 6 256 0.6× 237 0.6× 83 1.2× 23 0.4× 8 0.3× 9 313
Jee-weon Jung South Korea 15 600 1.4× 617 1.6× 150 2.1× 28 0.4× 12 0.5× 58 764

Countries citing papers authored by Madhu R. Kamble

Since Specialization
Citations

This map shows the geographic impact of Madhu R. Kamble's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Madhu R. Kamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhu R. Kamble more than expected).

Fields of papers citing papers by Madhu R. Kamble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madhu R. Kamble. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Madhu R. Kamble. The network helps show where Madhu R. Kamble may publish in the future.

Co-authorship network of co-authors of Madhu R. Kamble

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu R. Kamble. A scholar is included among the top collaborators of Madhu R. Kamble based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhu R. Kamble. Madhu R. Kamble is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kamble, Madhu R.. (2023). Quefrency Domain Features with Residual Networks for Spoof Speech Detection. 2384–2389. 1 indexed citations
2.
Kamble, Madhu R., José Patino, María A. Zuluaga, & Massimiliano Todisco. (2022). Exploring Auditory Acoustic Features for The Diagnosis of Covid-19. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 566–570. 6 indexed citations
3.
Tak, Hemlata, Madhu R. Kamble, José Patino, Massimiliano Todisco, & Nicholas Evans. (2022). Rawboost: A Raw Data Boosting and Augmentation Method Applied to Automatic Speaker Verification Anti-Spoofing. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6382–6386. 44 indexed citations
4.
Gupta, Priyanka, et al.. (2020). Design of Voice Privacy System using Linear Prediction. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 543–549. 4 indexed citations
5.
Kamble, Madhu R. & Hemant A. Patil. (2020). Novel Variable Length Teager Energy Profiles for Replay Spoof Detection. 143–150. 4 indexed citations
6.
Kamble, Madhu R., Hemlata Tak, & Hemant A. Patil. (2020). Amplitude and Frequency Modulation-based features for detection of replay Spoof Speech. Speech Communication. 125. 114–127. 16 indexed citations
7.
Kamble, Madhu R., et al.. (2020). Analysis of Teager Energy Profiles for Spoof Speech Detection. 304–311. 3 indexed citations
8.
Kamble, Madhu R. & Hemant A. Patil. (2020). Detection of replay spoof speech using teager energy feature cues. Computer Speech & Language. 65. 101140–101140. 23 indexed citations
9.
Kamble, Madhu R., et al.. (2020). Teager Energy Cepstral Coefficients for Classification of Normal vs. Whisper Speech. 1–5. 7 indexed citations
10.
Kamble, Madhu R., Hardik B. Sailor, Hemant A. Patil, & Haizhou Li. (2020). Advances in anti-spoofing: from the perspective of ASVspoof challenges. APSIPA Transactions on Signal and Information Processing. 9(1). 60 indexed citations
11.
Kamble, Madhu R., et al.. (2019). Speech Demodulation-based Techniques for Replay and Presentation Attack Detection. 38. 1545–1550. 1 indexed citations
12.
Kamble, Madhu R. & Hemant A. Patil. (2019). Analysis of Reverberation via Teager Energy Features for Replay Spoof Speech Detection. 2607–2611. 20 indexed citations
13.
Kamble, Madhu R. & Hemant A. Patil. (2018). Novel Variable Length Energy Separation Algorithm Using Instantaneous Amplitude Features for Replay Detection. 646–650. 23 indexed citations
14.
Kamble, Madhu R., et al.. (2018). Replay Spoof Detection using Power Function Based Features. 1019–1023. 11 indexed citations
15.
Sailor, Hardik B., et al.. (2018). DA-IICT/IIITV System for Low Resource Speech Recognition Challenge 2018. 3187–3191. 6 indexed citations
16.
Kamble, Madhu R., et al.. (2018). Novel Demodulation-Based Features using Classifier-level Fusion of GMM and CNN for Replay Detection. 4. 334–338. 3 indexed citations
17.
Kamble, Madhu R. & Hemant A. Patil. (2017). Effectiveness of Mel Scale-Based ESA-IFCC Features for Classification of Natural vs. Spoofed Speech. 308–316. 13 indexed citations
18.
Kamble, Madhu R. & Hemant A. Patil. (2017). Novel Energy Separation Based Frequency Modulation Features for Spoofed Speech Classification. 99. 1–6. 2 indexed citations
19.
Patil, Hemant A., Madhu R. Kamble, Tanvina Patel, & Meet Soni. (2017). Novel Variable Length Teager Energy Separation Based Instantaneous Frequency Features for Replay Detection. 12–16. 58 indexed citations
20.
Sailor, Hardik B., Madhu R. Kamble, & Hemant A. Patil. (2017). Unsupervised Representation Learning Using Convolutional Restricted Boltzmann Machine for Spoof Speech Detection. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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