Meet Soni

629 total citations
18 papers, 418 citations indexed

About

Meet Soni is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Meet Soni has authored 18 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Signal Processing, 10 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Meet Soni's work include Speech and Audio Processing (15 papers), Music and Audio Processing (10 papers) and Speech Recognition and Synthesis (9 papers). Meet Soni is often cited by papers focused on Speech and Audio Processing (15 papers), Music and Audio Processing (10 papers) and Speech Recognition and Synthesis (9 papers). Meet Soni collaborates with scholars based in India. Meet Soni's co-authors include Hemant A. Patil, Neil Shah, Hemant A. Patil, Tanvina Patel, Madhu R. Kamble, Hardik B. Sailor, Sunil Kumar Kopparapu, Rupayan Chakraborty, Jyoti Shankar and A. Sircar and has published in prestigious journals such as Speech Communication, Groundwater for Sustainable Development and 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

In The Last Decade

Meet Soni

16 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meet Soni India 8 348 234 70 48 46 18 418
Jeff Ma United States 13 342 1.0× 393 1.7× 30 0.4× 17 0.4× 13 0.3× 36 518
P. Krishnamoorthy India 9 235 0.7× 170 0.7× 55 0.8× 33 0.7× 21 0.5× 27 301
Chunlei Zhang United States 15 573 1.6× 595 2.5× 10 0.1× 52 1.1× 7 0.2× 39 718
Juan M. Martín-Doñas Spain 7 232 0.7× 160 0.7× 51 0.7× 47 1.0× 58 1.3× 20 306
Sanjay Sharma India 6 598 1.7× 636 2.7× 14 0.2× 81 1.7× 19 0.4× 19 766
Lianwu Chen China 15 511 1.5× 312 1.3× 178 2.5× 27 0.6× 72 1.6× 31 554
Niko Moritz Germany 16 371 1.1× 307 1.3× 28 0.4× 53 1.1× 56 1.2× 31 454
Sunil Sivadas Singapore 14 425 1.2× 483 2.1× 18 0.3× 43 0.9× 13 0.3× 29 545
F.J. Cañadas-Quesada Spain 14 292 0.8× 25 0.1× 36 0.5× 111 2.3× 26 0.6× 50 462

Countries citing papers authored by Meet Soni

Since Specialization
Citations

This map shows the geographic impact of Meet Soni'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 Meet Soni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meet Soni more than expected).

Fields of papers citing papers by Meet Soni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meet Soni. 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 Meet Soni. The network helps show where Meet Soni may publish in the future.

Co-authorship network of co-authors of Meet Soni

This figure shows the co-authorship network connecting the top 25 collaborators of Meet Soni. A scholar is included among the top collaborators of Meet Soni 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 Meet Soni. Meet Soni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Soni, Meet, et al.. (2022). Acoustic Model Adaption Using x-vectors for Improved Automatic Speech Recognition. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). 833–839.
2.
Soni, Meet & Hemant A. Patil. (2021). Non-intrusive quality assessment of noise-suppressed speech using unsupervised deep features. Speech Communication. 130. 27–44. 6 indexed citations
3.
4.
5.
Shankar, Jyoti, et al.. (2019). Reckoning of water quality for irrigation and drinking purposes in the konkan geothermal provinces, Maharashtra, India. Groundwater for Sustainable Development. 9. 100247–100247. 43 indexed citations
6.
Soni, Meet, et al.. (2019). Label Driven Time-Frequency Masking for Robust Continuous Speech Recognition. 426–430. 2 indexed citations
7.
8.
Soni, Meet, Neil Shah, & Hemant A. Patil. (2018). Time-Frequency Masking-Based Speech Enhancement Using Generative Adversarial Network. 5039–5043. 140 indexed citations
9.
10.
Shah, Neil, Hemant A. Patil, & Meet Soni. (2018). Time-Frequency Mask-based Speech Enhancement using Convolutional Generative Adversarial Network. 1246–1251. 30 indexed citations
11.
Sailor, Hardik B., et al.. (2017). Novel TEO-based Gammatone features for environmental sound classification. 1809–1813. 46 indexed citations
12.
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
13.
Soni, Meet, et al.. (2017). Novel Shifted Real Spectrum for Exact Signal Reconstruction. 3112–3116. 3 indexed citations
14.
Soni, Meet & Hemant A. Patil. (2017). Effectiveness of ideal ratio mask for non-intrusive quality assessment of noise suppressed speech. 573–577. 6 indexed citations
15.
Soni, Meet & Hemant A. Patil. (2016). Novel Subband Autoencoder Features for Non-Intrusive Quality Assessment of Noise Suppressed Speech. 3708–3712. 7 indexed citations
16.
Soni, Meet & Hemant A. Patil. (2016). Novel deep autoencoder features for non-intrusive speech quality assessment. 2315–2319. 28 indexed citations
17.
Soni, Meet, Tanvina Patel, & Hemant A. Patil. (2016). Novel Subband Autoencoder Features for Detection of Spoofed Speech. 1820–1824. 8 indexed citations
18.

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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2026