Ankur Gandhe

406 total citations
27 papers, 213 citations indexed

About

Ankur Gandhe is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Ankur Gandhe has authored 27 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 6 papers in Signal Processing and 1 paper in Control and Systems Engineering. Recurrent topics in Ankur Gandhe's work include Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (16 papers). Ankur Gandhe is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (18 papers) and Topic Modeling (16 papers). Ankur Gandhe collaborates with scholars based in United States, India and Germany. Ankur Gandhe's co-authors include Björn Hoffmeister, Ariya Rastrow, Karthik Visweswariah, Ian Lane, Florian Metze, Ivan Bulyko, Jiří Navrátil, Faisal Ladhak, Lambert Mathias and Markus Dreyer and has published in prestigious journals such as Empirical Methods in Natural Language Processing, Figshare and International Joint Conference on Natural Language Processing.

In The Last Decade

Ankur Gandhe

24 papers receiving 176 citations

Peers

Ankur Gandhe

AI

SP

CVPR

IS

MB

Ahmad Emami United States

Xutai Ma United States

Matthias Paulik United States

Dhananjay Ram Switzerland

Sebastian Stüker Germany

Shuoyang Ding United States

E. W. D. Whittaker Japan

Jason Riesa United States

Wenxin Hou Japan

Ramon Sanabria United Kingdom

Ahmad Emami United States

Ankur Gandhe

301 ×1.5

AI

74 ×1.4

SP

16 ×1.1

CVPR

5 ×0.7

IS

4 ×0.8

MB

Citations per year, relative to Ankur Gandhe Ankur Gandhe (= 1×) peers Ahmad Emami

Countries citing papers authored by Ankur Gandhe

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Gandhe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Gandhe

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

Lin, Guan-Ting, Prashanth Gurunath Shivakumar, Yile Gu, et al.. (2025). Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback. 20395–20411. 2 indexed citations

2.

Kolehmainen, Jari, Prashanth Gurunath Shivakumar, Yile Gu, et al.. (2024). Multi-Modal Retrieval For Large Language Model Based Speech Recognition. 4435–4446.

3.

Gandhe, Ankur, et al.. (2023). On-the-Fly Text Retrieval for end-to-end ASR Adaptation. 1–5. 1 indexed citations

4.

Shivakumar, Prashanth Gurunath, Jari Kolehmainen, Yile Gu, et al.. (2023). Discriminative Speech Recognition Rescoring With Pre-Trained Language Models. 1–7.

5.

Gu, Yile, Prashanth Gurunath Shivakumar, Jari Kolehmainen, et al.. (2023). Scaling Laws for Discriminative Speech Recognition Rescoring Models. 471–475. 3 indexed citations

6.

Shivakumar, Prashanth Gurunath, Jari Kolehmainen, Yile Gu, et al.. (2023). Distillation Strategies for Discriminative Speech Recognition Rescoring. 4084–4088. 2 indexed citations

7.

Kolehmainen, Jari, Yile Gu, Prashanth Gurunath Shivakumar, et al.. (2023). Personalization for BERT-based Discriminative Speech Recognition Rescoring. 366–370. 2 indexed citations

8.

Gandhe, Ankur, et al.. (2022). Usted: Improving ASR with a Unified Speech and Text Encoder-Decoder. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8297–8301. 5 indexed citations

9.

Gandhe, Ankur, et al.. (2022). Lattention: Lattice-Attention in ASR Rescoring. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7877–7881.

10.

Gandhe, Ankur, et al.. (2022). A Likelihood Ratio Based Domain Adaptation Method for E2E Models. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6 indexed citations

11.

Xu, Liyan, Yile Gu, Jari Kolehmainen, et al.. (2022). RescoreBERT: Discriminative Speech Recognition Rescoring With Bert. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6117–6121. 19 indexed citations

12.

Wu, Ting-Wei, I‐Ming Chen, & Ankur Gandhe. (2022). Learning to rank with BERT-based confidence models in ASR rescoring. Interspeech 2022. 1651–1655. 1 indexed citations

13.

Liu, Linda, et al.. (2021). Domain-Aware Neural Language Models for Speech Recognition. 7373–7377. 7 indexed citations

14.

Sun, Ming, et al.. (2019). Neural Text Normalization with Subword Units. 25 indexed citations

15.

Ladhak, Faisal, Ankur Gandhe, Markus Dreyer, et al.. (2016). LatticeRnn: Recurrent Neural Networks Over Lattices. 695–699. 38 indexed citations

16.

Gandhe, Ankur, Florian Metze, Alex Waibel, & Ian Lane. (2014). Optimization of Neural Network Language Models for keyword search. Figshare. 2. 4888–4892. 2 indexed citations

17.

Gandhe, Ankur, Long Qin, Florian Metze, et al.. (2013). Using web text to improve keyword spotting in speech. Figshare. 1. 428–433. 12 indexed citations

18.

Bhattacharyya, Pushpak, et al.. (2011). Clause-Based Reordering Constraints to Improve Statistical Machine Translation. International Joint Conference on Natural Language Processing. 1351–1355. 4 indexed citations

19.

Gandhe, Ankur, et al.. (2011). Handling verb phrase morphology in highly inflected Indian languages for Machine Translation. International Joint Conference on Natural Language Processing. 111–119. 5 indexed citations

20.

Visweswariah, Karthik, et al.. (2011). A Word Reordering Model for Improved Machine Translation. Empirical Methods in Natural Language Processing. 486–496. 34 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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