Chitralekha Gupta

402 total citations
33 papers, 218 citations indexed

About

Chitralekha Gupta is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chitralekha Gupta has authored 33 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Signal Processing, 14 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chitralekha Gupta's work include Music and Audio Processing (21 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (13 papers). Chitralekha Gupta is often cited by papers focused on Music and Audio Processing (21 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (13 papers). Chitralekha Gupta collaborates with scholars based in Singapore, United States and India. Chitralekha Gupta's co-authors include Haizhou Li, Ye Wang, Xiaoxue Gao, Emre Yılmaz, Preeti Rao, Rong Tong, Suranga Nanayakkara, Masataka Goto, Tharindu Kaluarachchi and Douglas Turnbull and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Interaction and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Chitralekha Gupta

27 papers receiving 205 citations

Peers

Chitralekha Gupta

SP

AI

CVPR

CN

MUSIC

Satoru Fukayama Japan

Nicola Montecchio Italy

Matt Sharifi United States

Marijn Huijbregts Netherlands

Takuya Nishimoto Japan

Emiru Tsunoo United States

Alastair Porter Spain

Steffen Zeiler Germany

Xingjian Du China

Cheng-Zhi Anna Huang United States

Satoru Fukayama Japan

Chitralekha Gupta

191 ×1.2

SP

89 ×0.7

AI

196 ×3.2

CVPR

64 ×2.6

CN

10 ×0.6

MUSIC

Citations per year, relative to Chitralekha Gupta Chitralekha Gupta (= 1×) peers Satoru Fukayama

Countries citing papers authored by Chitralekha Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Chitralekha Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitralekha Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Chitralekha Gupta. A scholar is included among the top collaborators of Chitralekha Gupta 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 Chitralekha Gupta. Chitralekha Gupta 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

1.

Gupta, Chitralekha, et al.. (2025). GutIO: Toward Sensing and Inducing Gut Feelings with Abdominal Sounds. 1–9.

2.

Gupta, Chitralekha, et al.. (2025). MorphFader: Enabling Fine-grained Controllable Morphing with Text-to-Audio Models. 1–5.

3.

Gupta, Chitralekha, et al.. (2025). Assistive Augmentation: Fundamentally Transforming Human Ability. interactions. 32(1). 22–27. 1 indexed citations

4.

Gupta, Chitralekha, et al.. (2024). SonicVista: Towards Creating Awareness of Distant Scenes through Sonification. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(2). 1–32.

5.

Siriwardhana, Shamane, et al.. (2023). Can AI Models Summarize Your Diary Entries? Investigating Utility of Abstractive Summarization for Autobiographical Text. International Journal of Human-Computer Interaction. 40(24). 8655–8673. 3 indexed citations

6.

Gupta, Chitralekha, et al.. (2023). Evaluating Descriptive Quality of AI-Generated Audio Using Image-Schemas. 621–632. 3 indexed citations

7.

Nanayakkara, Suranga, Masahiko İnami, Florian Mueller, et al.. (2023). Exploring the Design Space of Assistive Augmentation. SPIRE - Sciences Po Institutional REpository. 371–373. 4 indexed citations

8.

Gupta, Chitralekha, et al.. (2023). Towards Controllable Audio Texture Morphing. 1–5. 4 indexed citations

9.

Gupta, Chitralekha, Haizhou Li, & Masataka Goto. (2022). Deep Learning Approaches in Topics of Singing Information Processing. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 2422–2451. 9 indexed citations

10.

Gupta, Chitralekha, et al.. (2020). Spectral Features and Pitch Histogram for Automatic Singing Quality Evaluation with CRNN. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 492–499. 3 indexed citations

11.

Gupta, Chitralekha, et al.. (2020). Automatic rank-ordering of singing vocals with twin-neural network. Zenodo (CERN European Organization for Nuclear Research). 416–423. 2 indexed citations

12.

Gupta, Chitralekha, et al.. (2019). NUS Speak-to-Sing: A Web Platform for Personalized Speech-to-Singing Conversion.. Conference of the International Speech Communication Association. 2376–2377. 1 indexed citations

13.

Gupta, Chitralekha, Emre Yılmaz, & Haizhou Li. (2019). Acoustic Modeling for Automatic Lyrics-to-Audio Alignment. 2040–2044. 11 indexed citations

14.

Gupta, Chitralekha, Haizhou Li, & Ye Wang. (2018). Automatic Pronunciation Evaluation of Singing. 1507–1511. 9 indexed citations

15.

Gupta, Chitralekha, Haizhou Li, & Ye Wang. (2018). Automatic Evaluation of Singing Quality without a Reference. 990–997. 6 indexed citations

16.

Gupta, Chitralekha, Haizhou Li, & Ye Wang. (2018). A technical framework for automatic perceptual evaluation of singing quality. APSIPA Transactions on Signal and Information Processing. 7(1). 7 indexed citations

17.

Gupta, Chitralekha, Haizhou Li, & Ye Wang. (2017). Perceptual evaluation of singing quality. 577–586. 26 indexed citations

18.

Agres, Kat, et al.. (2017). Intelligibility Of Sung Lyrics: A Pilot Study.. Zenodo (CERN European Organization for Nuclear Research). 686–693. 5 indexed citations

19.

Gupta, Chitralekha, et al.. (2017). Towards Automatic Mispronunciation Detection In Singing.. Zenodo (CERN European Organization for Nuclear Research). 390–396. 3 indexed citations

20.

Gupta, Chitralekha & Preeti Rao. (2011). AN OBJECTIVE ASSESSMENT TOOL FOR ORNAMENTATION IN SINGING. 1 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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