Prasanta Kumar Ghosh

571 total citations
54 papers, 331 citations indexed

About

Prasanta Kumar Ghosh is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Prasanta Kumar Ghosh has authored 54 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 28 papers in Signal Processing and 12 papers in Physiology. Recurrent topics in Prasanta Kumar Ghosh's work include Speech Recognition and Synthesis (29 papers), Speech and Audio Processing (25 papers) and Music and Audio Processing (13 papers). Prasanta Kumar Ghosh is often cited by papers focused on Speech Recognition and Synthesis (29 papers), Speech and Audio Processing (25 papers) and Music and Audio Processing (13 papers). Prasanta Kumar Ghosh collaborates with scholars based in India, United States and Germany. Prasanta Kumar Ghosh's co-authors include Digvir S. Jayas, Balraj Singh, Y. C. Agrawal, Dipanjan Gope, Ravi Yadav, John P. John, Seema Mehrotra, Ajay Kumar Nair, Bindu M. Kutty and Arun Sasidharan and has published in prestigious journals such as The Journal of Physiology, The Journal of the Acoustical Society of America and Journal of Sound and Vibration.

In The Last Decade

Prasanta Kumar Ghosh

45 papers receiving 320 citations

Peers

Prasanta Kumar Ghosh

PHYSI

ECP

Abhirup Chatterjee India

Philipp Klumpp Germany

Kamlesh Jha India

Leandro Rodrı́guez-Liñares Spain

Lee Yoot Khuan Malaysia

Slobodan T. Jovičić Serbia

Dale Joachim United States

Biswajit Karan India

Achraf Benba Morocco

Zhaocheng Huang Australia

Abhirup Chatterjee India

Prasanta Kumar Ghosh

60 ×0.4

45 ×0.4

46 ×0.9

29 ×0.6

PHYSI

32 ×0.7

ECP

Citations per year, relative to Prasanta Kumar Ghosh Prasanta Kumar Ghosh (= 1×) peers Abhirup Chatterjee

Countries citing papers authored by Prasanta Kumar Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Prasanta Kumar Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prasanta Kumar Ghosh. 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 Prasanta Kumar Ghosh. The network helps show where Prasanta Kumar Ghosh may publish in the future.

Co-authorship network of co-authors of Prasanta Kumar Ghosh

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

All Works

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20 of 20 papers shown

Ghosh, Prasanta Kumar, et al.. (2025). Improving neural network training using dynamic learning rate schedule for PINNs and image classification. Machine Learning with Applications. 21. 100697–100697. 1 indexed citations

Ghosh, Prasanta Kumar, et al.. (2025). Solving 2-D Helmholtz equation in the rectangular, circular, and elliptical domains using neural networks. Journal of Sound and Vibration. 607. 119022–119022. 1 indexed citations

Ghosh, Prasanta Kumar, et al.. (2025). Improving Dialect Identification in Indian Languages Using Multimodal Features from Dialect Informed ASR. 1–5.

Ghosh, Prasanta Kumar, et al.. (2024). A machine‐learning tool to identify bistable states from calcium imaging data. The Journal of Physiology. 602(7). 1243–1271. 2 indexed citations

Jayakumar, Anjali, et al.. (2024). Low Complexity Model with Single Dimensional Feature for Speech Based Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Individuals. 1–5.

Vengalil, Seena, et al.. (2024). Spectral Analysis of Vowels and Fricatives at Varied Levels of Dysarthria Severity for Amyotrophic Lateral Sclerosis. 12767–12771. 2 indexed citations

Nalini, Atchayaram, et al.. (2023). Static and Dynamic Source and Filter Cues for Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Subjects. 1–5. 1 indexed citations

Nalini, Atchayaram, et al.. (2023). Exploring the Role of Fricatives in Classifying Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis and Parkinson’s Disease. 1–5. 1 indexed citations

Ghosh, Prasanta Kumar, Hema A. Murthy, Heiga Zen, et al.. (2023). Lightweight, Multi-Speaker, Multi-Lingual Indic Text-to-Speech. 32. 1–2.

10.

Jayakumar, Anjali, et al.. (2023). Transfer Learning to Aid Dysarthria Severity Classification for Patients with Amyotrophic Lateral Sclerosis. 1543–1547. 1 indexed citations

11.

Ghosh, Prasanta Kumar, et al.. (2023). E2E Multi-Scale CNN with LSTM for Murmur Detection in PCG or Noise Identification. 1–6. 1 indexed citations

12.

Ghosh, Prasanta Kumar, et al.. (2022). Dual Attention Pooling Network for Recording Device Classification Using Neutral and Whispered Speech. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 33. 8487–8491. 1 indexed citations

13.

Gope, Dipanjan, et al.. (2021). Convolutional Dense Neural Network Based Spirometry Variable FVC Prediction Using Sustained Phonations. 1–6.

14.

Pal, Pramod Kumar, et al.. (2021). Automatic Classification of Healthy Subjects and Patients With Essential Vocal Tremor Using Probabilistic Source-Filter Model Based Noise Robust Pitch Estimation. Journal of Voice. 37(3). 314–321. 2 indexed citations

15.

Nalini, Atchayaram, et al.. (2020). Raw Speech Waveform Based Classification of Patients with ALS, Parkinson’s Disease and Healthy Controls Using CNN-BLSTM. 4586–4590. 15 indexed citations

16.

Ghosh, Prasanta Kumar, et al.. (2019). An Improved Goodness of Pronunciation (GoP) Measure for Pronunciation Evaluation with DNN-HMM System Considering HMM Transition Probabilities. 954–958. 33 indexed citations

17.

Guha, Tanaya, et al.. (2019). Dirichlet Latent Variable Model: A Dynamic Model Based on Dirichlet Prior for Audio Processing. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(5). 919–931. 1 indexed citations

18.

Ghosh, Prasanta Kumar, et al.. (2018). PSFM—A Probabilistic Source Filter Model for Noise Robust Glottal Closure Instant Detection. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(9). 1645–1657. 5 indexed citations

19.

Ghosh, Prasanta Kumar, et al.. (2018). Broad Phoneme Class Specific Deep Neural Network Based Speech Enhancement. 11. 372–376. 1 indexed citations

20.

Pal, Pramod Kumar, et al.. (2017). Classification of healthy subjects and patients with essential vocal tremor using empirical mode decomposition of high resolution pitch contour. ePrints@IISc (Indian Institute of Science). 41. 1–6. 2 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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