Chitralekha Bhat

405 total citations
18 papers, 263 citations indexed

About

Chitralekha Bhat is a scholar working on Artificial Intelligence, Signal Processing and Physiology. According to data from OpenAlex, Chitralekha Bhat has authored 18 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Signal Processing and 9 papers in Physiology. Recurrent topics in Chitralekha Bhat's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (9 papers) and Voice and Speech Disorders (9 papers). Chitralekha Bhat is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (9 papers) and Voice and Speech Disorders (9 papers). Chitralekha Bhat collaborates with scholars based in India and Netherlands. Chitralekha Bhat's co-authors include Sunil Kumar Kopparapu, Helmer Strik, Biswajit Das, Vrushali Kulkarni, Preeti Rao, Prathibha Karanth, Annamma George, Ashima Nehra, Avanthi Paplikar and Yasmeen Faroqi‐Shah and has published in prestigious journals such as Journal of Speech Language and Hearing Research, Computers in Biology and Medicine and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Chitralekha Bhat

14 papers receiving 250 citations

Peers

Chitralekha Bhat
Minhwa Chung South Korea
Christina M. Esposito United States
Ka Ho Wong Hong Kong
Steven M. Lulich United States
Chad Vicenik United States
Erfan Loweimi United Kingdom
Minhwa Chung South Korea
Chitralekha Bhat
Citations per year, relative to Chitralekha Bhat Chitralekha Bhat (= 1×) peers Minhwa Chung

Countries citing papers authored by Chitralekha Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Chitralekha Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chitralekha Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Chitralekha Bhat. A scholar is included among the top collaborators of Chitralekha Bhat 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 Bhat. Chitralekha Bhat 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.
Bhat, Chitralekha & Helmer Strik. (2025). Speech Technology for Automatic Recognition and Assessment of Dysarthric Speech: An Overview. Journal of Speech Language and Hearing Research. 68(2). 547–577. 1 indexed citations
2.
Bhat, Chitralekha & Helmer Strik. (2025). Two-stage data augmentation for improved ASR performance for dysarthric speech. Computers in Biology and Medicine. 189. 109954–109954.
3.
Bhat, Chitralekha, et al.. (2022). Improved ASR Performance for Dysarthric Speech Using Two-stage DataAugmentation. Interspeech 2022. 46–50. 12 indexed citations
4.
Bhat, Chitralekha & Helmer Strik. (2020). Automatic Assessment of Sentence-Level Dysarthria Intelligibility Using BLSTM. IEEE Journal of Selected Topics in Signal Processing. 14(2). 322–330. 42 indexed citations
5.
George, Annamma, Ashima Nehra, Avanthi Paplikar, et al.. (2019). Expert Group Meeting on Aphasia. Annals of Indian Academy of Neurology. 22(2). 137–146. 7 indexed citations
6.
Bhat, Chitralekha & Sunil Kumar Kopparapu. (2019). Identification of Alzheimer’s Disease using Non-linguistic Audio Descriptors. 1–5. 3 indexed citations
7.
Bhat, Chitralekha, et al.. (2018). Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition. 471–475. 72 indexed citations
8.
Bhat, Chitralekha, et al.. (2018). Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder. 451–455. 16 indexed citations
9.
Bhat, Chitralekha & Sunil Kumar Kopparapu. (2018). FEMH Voice Data Challenge: Voice disorder Detection and Classification using Acoustic Descriptors. 5233–5237. 7 indexed citations
10.
Bhat, Chitralekha, et al.. (2017). Automatic assessment of dysarthria severity level using audio descriptors. 5070–5074. 44 indexed citations
11.
Bhat, Chitralekha, et al.. (2017). Deep Autoencoder Based Speech Features for Improved Dysarthric Speech Recognition. 1854–1858. 24 indexed citations
13.
Bhat, Chitralekha, et al.. (2015). Automatic assessment of articulation errors in Hindi speech at phone level. 1–4. 2 indexed citations
14.
Bhat, Chitralekha & Sunil Kumar Kopparapu. (2015). Viseme comparison based on phonetic cues for varying speech accents. 3412–3416.
15.
Bhat, Chitralekha, et al.. (2014). Digitization Of Hindi Photo Articulation Test For Speech Sound Disorders. 1 indexed citations
16.
Bhat, Chitralekha, et al.. (2013). Deploying usable speech enabled IVR systems for mass use. 192. 1–5. 9 indexed citations
17.
Bhat, Chitralekha, et al.. (2013). Visual Subtitles for Internet Videos. 17–20. 1 indexed citations
18.
Bhat, Chitralekha, et al.. (2010). Pronunciation scoring for Indian English learners using a phone recognition system. 135–139. 6 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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