Srikanth Ronanki

703 total citations
26 papers, 142 citations indexed

About

Srikanth Ronanki is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Srikanth Ronanki has authored 26 papers receiving a total of 142 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Signal Processing and 2 papers in Computer Networks and Communications. Recurrent topics in Srikanth Ronanki's work include Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (8 papers). Srikanth Ronanki is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (8 papers). Srikanth Ronanki collaborates with scholars based in United States, United Kingdom and India. Srikanth Ronanki's co-authors include Simon King, Bajibabu Bollepalli, Oliver Watts, Zhizheng Wu, Gustav Eje Henter, Mirjam Wester, Thomas Merritt, Katrin Kirchhoff, Thomas Drugman and Roberto Barra-Chicote and has published in prestigious journals such as Edinburgh Research Explorer (University of Edinburgh), Edinburgh Research Explorer and arXiv (Cornell University).

In The Last Decade

Srikanth Ronanki

15 papers receiving 118 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Srikanth Ronanki United States 7 115 80 16 11 5 26 142
Ondřej Klejch United Kingdom 9 174 1.5× 77 1.0× 15 0.9× 19 1.7× 3 0.6× 23 210
Yifan Peng United States 11 242 2.1× 95 1.2× 10 0.6× 24 2.2× 4 0.8× 48 305
Enmao Diao United States 3 51 0.4× 55 0.7× 62 3.9× 11 1.0× 5 1.0× 12 110
Julian Chan United States 8 204 1.8× 121 1.5× 17 1.1× 15 1.4× 2 0.4× 11 235
Joel Pinto Switzerland 11 306 2.7× 240 3.0× 27 1.7× 23 2.1× 6 1.2× 24 344
Slava Shechtman United States 8 175 1.5× 140 1.8× 26 1.6× 20 1.8× 3 0.6× 29 194
João Monteiro Canada 9 110 1.0× 101 1.3× 9 0.6× 44 4.0× 2 0.4× 17 165
Ziyang Ma China 7 92 0.8× 54 0.7× 26 1.6× 18 1.6× 4 0.8× 41 146
Adrian Łańcucki Poland 8 215 1.9× 123 1.5× 12 0.8× 27 2.5× 4 0.8× 14 264

Countries citing papers authored by Srikanth Ronanki

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth Ronanki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikanth Ronanki

This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth Ronanki. A scholar is included among the top collaborators of Srikanth Ronanki 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 Srikanth Ronanki. Srikanth Ronanki 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.
Niu, Xing, Prashant Mathur, Srikanth Ronanki, et al.. (2025). Zero-resource Speech Translation and Recognition with LLMs. 1–5.
2.
Du, Yufeng, Srikanth Ronanki, Aram Galstyan, et al.. (2025). Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. 23281–23298.
3.
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5.
Pappas, Nikolaos, et al.. (2024). Sequential Editing for Lifelong Training of Speech Recognition Models. 3919–3923.
6.
Ronanki, Srikanth, et al.. (2023). Retrieve and Copy: Scaling ASR Personalization to Large Catalogs. 631–639. 1 indexed citations
7.
Ronanki, Srikanth, et al.. (2023). AdaBERT-CTC: Leveraging BERT-CTC for Text-Only Domain Adaptation in ASR. 364–371.
8.
Li, Xilai, et al.. (2023). Dynamic Chunk Convolution for Unified Streaming and Non-Streaming Conformer ASR. 1–5. 2 indexed citations
9.
Gopalakrishnan, Karthik, et al.. (2023). A Metric-Driven Approach to Conformer Layer Pruning for Efficient ASR Inference. 4079–4083.
10.
Ronanki, Srikanth, et al.. (2023). Personalization of CTC Speech Recognition Models. 302–309. 13 indexed citations
11.
Srinivasan, Sundararajan, et al.. (2022). Contextual Acoustic Barge-In Classification for Spoken Dialog Systems. Interspeech 2022. 1091–1095. 2 indexed citations
12.
Ronanki, Srikanth, et al.. (2021). "What's The Context?" : Long Context NLM Adaptation for ASR Rescoring in Conversational Agents.. arXiv (Cornell University).
13.
Watts, Oliver, et al.. (2018). Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data. Edinburgh Research Explorer. 32–36. 6 indexed citations
14.
Ronanki, Srikanth, et al.. (2017). Non-parametric duration modelling for speech synthesis with a joint model of acoustics and duration. IEICE Technical Report; IEICE Tech. Rep.. 116(414). 11–16. 2 indexed citations
15.
Ronanki, Srikanth, Oliver Watts, & Simon King. (2017). A Hierarchical Encoder-Decoder Model for Statistical Parametric Speech Synthesis. Edinburgh Research Explorer. 1133–1137. 7 indexed citations
16.
Merritt, Thomas, Srikanth Ronanki, Zhizheng Wu, & Oliver Watts. (2016). The CSTR entry to the Blizzard Challenge 2016. Edinburgh Research Explorer (University of Edinburgh). 74–77. 3 indexed citations
17.
Ronanki, Srikanth, Zhizheng Wu, Oliver Watts, & Simon King. (2016). A Demonstration of the Merlin Open Source Neural Network Speech Synthesis System.. SSW. 124. 1 indexed citations
18.
Watts, Oliver, et al.. (2015). The NST-GlottHMM entry to the Blizzard Challenge 2015. Edinburgh Research Explorer (University of Edinburgh). 39–42. 1 indexed citations
19.
Ronanki, Srikanth, Bajibabu Bollepalli, & Kishore Prahallad. (2012). Duration modelling in voice conversion using artificial neural networks. International Conference on Systems, Signals and Image Processing. 556–559. 3 indexed citations
20.
Ronanki, Srikanth, et al.. (2012). Automatic Pronunciation Scoring And Mispronunciation Detection Using CMUSphinx. 61–68. 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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