Siddharth Dalmia

832 total citations
26 papers, 402 citations indexed

About

Siddharth Dalmia is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Siddharth Dalmia has authored 26 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 7 papers in Signal Processing and 1 paper in Control and Systems Engineering. Recurrent topics in Siddharth Dalmia's work include Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (13 papers). Siddharth Dalmia is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Natural Language Processing Techniques (16 papers) and Topic Modeling (13 papers). Siddharth Dalmia collaborates with scholars based in United States, Japan and China. Siddharth Dalmia's co-authors include David R. Mortensen, Florian Metze, Shinji Watanabe, Patrick Littell, Alan W. Black, Xinjian Li, Graham Neubig, Juncheng Li, Clara E. Rivera and Alexis Conneau and has published in prestigious journals such as Language Resources and Evaluation, IEEE/ACM Transactions on Audio Speech and Language Processing and NPARC.

In The Last Decade

Siddharth Dalmia

25 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Siddharth Dalmia United States	11	379	122	22	17	8	26	402
Trevor Strohman United States	12	408 1.1×	253 2.1×	12 0.5×	21 1.2×	5 0.6×	36	431
Tanel Alumäe Estonia	11	427 1.1×	118 1.0×	19 0.9×	46 2.7×	7 0.9×	49	484
Venkata Ramana Rao Gadde United States	9	293 0.8×	259 2.1×	31 1.4×	37 2.2×	11 1.4×	13	344
Thomas Merritt United Kingdom	9	258 0.7×	191 1.6×	43 2.0×	35 2.1×	14 1.8×	25	328
Arun Babu India	3	248 0.7×	112 0.9×	19 0.9×	28 1.6×	12 1.5×	4	299
Patrick von Platen Germany	3	242 0.6×	119 1.0×	18 0.8×	28 1.6×	12 1.5×	4	283
Murali Karthick Baskar United States	9	212 0.6×	157 1.3×	16 0.7×	7 0.4×	13 1.6×	21	239
Shubham Toshniwal United States	7	216 0.6×	88 0.7×	11 0.5×	13 0.8×	3 0.4×	14	239
Natalia Tomashenko France	12	283 0.7×	176 1.4×	15 0.7×	17 1.0×	24 3.0×	34	324
Laurent Besacier France	5	278 0.7×	165 1.4×	32 1.5×	41 2.4×	4 0.5×	7	332

Countries citing papers authored by Siddharth Dalmia

Since Specialization

Citations

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

Fields of papers citing papers by Siddharth Dalmia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddharth Dalmia

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Sanabria, Ramon, et al.. (2024). Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems. 23–32. 2 indexed citations

2.

Ma, Min, Shikhar Vashishth, Ankur Bapna, et al.. (2024). Multimodal Modeling for Spoken Language Identification. 11526–11530.

3.

Yan, Brian, Yun Tang, Hirofumi Inaguma, et al.. (2023). ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. 400–411. 11 indexed citations

4.

Dalmia, Siddharth, Yosuke Higuchi, Graham Neubig, et al.. (2023). CTC Alignments Improve Autoregressive Translation. 1623–1639. 18 indexed citations

5.

Peng, Yifan, Siddhant Arora, Yosuke Higuchi, et al.. (2023). A Study on the Integration of Pre-Trained SSL, ASR, LM and SLU Models for Spoken Language Understanding. 406–413. 9 indexed citations

6.

Dalmia, Siddharth, et al.. (2023). Align, Write, Re-Order: Explainable End-to-End Speech Translation via Operation Sequence Generation. 1–5. 3 indexed citations

7.

Conneau, Alexis, Min Ma, Simran Khanuja, et al.. (2023). FLEURS: FEW-Shot Learning Evaluation of Universal Representations of Speech. 798–805. 73 indexed citations

8.

Arora, Siddhant, Siddharth Dalmia, Brian Yan, et al.. (2022). Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models. 5419–5429. 1 indexed citations

9.

Arora, Siddhant, Siddharth Dalmia, Xuankai Chang, et al.. (2022). Two-Pass Low Latency End-to-End Spoken Language Understanding. Interspeech 2022. 3478–3482. 7 indexed citations

10.

Dalmia, Siddharth, et al.. (2021). Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks. 1882–1896. 21 indexed citations

11.

Dalmia, Siddharth, et al.. (2021). Differentiable Allophone Graphs for Language-Universal Speech Recognition. 2471–2475. 7 indexed citations

12.

Inaguma, Hirofumi, et al.. (2021). Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates. 922–929. 11 indexed citations

13.

Shi, Jiatong, et al.. (2021). Highland Puebla Nahuatl Speech Translation Corpus for Endangered Language Documentation. 53–63. 6 indexed citations

14.

Inaguma, Hirofumi, Siddharth Dalmia, Pengcheng Guo, et al.. (2021). ESPnet-ST IWSLT 2021 Offline Speech Translation System. 100–109. 15 indexed citations

15.

Li, Xinjian, et al.. (2020). Towards Zero-Shot Learning for Automatic Phonemic Transcription. Proceedings of the AAAI Conference on Artificial Intelligence. 34(5). 8261–8268. 21 indexed citations

16.

Li, Xinjian, Siddharth Dalmia, Juncheng Li, et al.. (2020). Universal Phone Recognition with a Multilingual Allophone System. NPARC. 8249–8253. 60 indexed citations

17.

Kim, Suyoun, Siddharth Dalmia, & Florian Metze. (2019). Cross-Attention End-to-End ASR for Two-Party Conversations. 4380–4384. 8 indexed citations

18.

Li, Xinjian, Siddharth Dalmia, Alan W. Black, & Florian Metze. (2019). Multilingual Speech Recognition with Corpus Relatedness Sampling. 2120–2124. 10 indexed citations

19.

Mortensen, David R., Siddharth Dalmia, & Patrick Littell. (2018). Epitran: Precision G2P for Many Languages.. Language Resources and Evaluation. 48 indexed citations

20.

Dalmia, Siddharth, Suyoun Kim, & Florian Metze. (2018). Situation informed end-to-end ASR for noisy environments. 49–52. 4 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.

Explore authors with similar magnitude of impact