Trevor Strohman

1.8k total citations
36 papers, 431 citations indexed

About

Trevor Strohman is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Trevor Strohman has authored 36 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Trevor Strohman's work include Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (13 papers). Trevor Strohman is often cited by papers focused on Speech Recognition and Synthesis (32 papers), Speech and Audio Processing (18 papers) and Music and Audio Processing (13 papers). Trevor Strohman collaborates with scholars based in United States and United Kingdom. Trevor Strohman's co-authors include Tara N. Sainath, Ruoming Pang, Yanzhang He, Shuo-Yiin Chang, Yonghui Wu, Yu Zhang, Bo Li, Khe Chai Sim, Zhouyuan Huo and Bo Li and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Interspeech 2022.

In The Last Decade

Trevor Strohman

35 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trevor Strohman United States	12	408	253	21	12	7	36	431
Hossein Hadian Iran	8	296 0.7×	206 0.8×	30 1.4×	11 0.9×	6 0.9×	16	333
Mahsa Yarmohammadi United States	6	307 0.8×	174 0.7×	27 1.3×	17 1.4×	3 0.4×	14	334
Zhuoyuan Yao China	6	223 0.5×	164 0.6×	16 0.8×	12 1.0×	7 1.0×	6	239
Yifan Peng United States	11	242 0.6×	95 0.4×	24 1.1×	10 0.8×	5 0.7×	48	305
Mike Seltzer United States	7	265 0.6×	196 0.8×	45 2.1×	5 0.4×	5 0.7×	17	311
Stephan Kanthak Germany	13	439 1.1×	183 0.7×	37 1.8×	20 1.7×	4 0.6×	20	454
Changhao Shan China	7	254 0.6×	182 0.7×	29 1.4×	5 0.4×	4 0.6×	10	291
Shivesh Ranjan United States	10	253 0.6×	201 0.8×	22 1.0×	12 1.0×	6 0.9×	21	284
Yosuke Higuchi Japan	11	417 1.0×	247 1.0×	35 1.7×	18 1.5×	12 1.7×	22	448
Srikanth Madikeri Switzerland	10	285 0.7×	240 0.9×	18 0.9×	8 0.7×	7 1.0×	53	312

Countries citing papers authored by Trevor Strohman

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Strohman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trevor Strohman

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

Bai, Junwen, et al.. (2024). Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR. 10841–10845. 2 indexed citations

Stooke, Adam, Khe Chai Sim, M. Chua, Tsendsuren Munkhdalai, & Trevor Strohman. (2023). Internal Language Model Personalization of E2E Automatic Speech Recognition Using Random Encoder Features. abs/2012.00133. 213–220. 2 indexed citations

Bruguier, Antoine, et al.. (2023). Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR. 38–45. 1 indexed citations

Sainath, Tara N., Rohit Prabhavalkar, Ankur Bapna, et al.. (2023). JOIST: A Joint Speech and Text Streaming Model for ASR. 52–59. 16 indexed citations

Yang, Chao-Han Huck, Bo Li, Yu Zhang, et al.. (2023). From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition. 1–5. 14 indexed citations

Li, Bo, Zhouyuan Huo, Junwen Bai, et al.. (2023). Efficient Domain Adaptation for Speech Foundation Models. 1–5. 11 indexed citations

Chang, Shuo-Yiin, Chao Zhang, Tara N. Sainath, Bo Li, & Trevor Strohman. (2023). Context-Aware end-to-end ASR Using Self-Attentive Embedding and Tensor Fusion. 1–5. 4 indexed citations

Zhang, Chao, Bo Li, Tara N. Sainath, et al.. (2022). Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification. Interspeech 2022. 3223–3227. 14 indexed citations

Li, Bo, Tara N. Sainath, Ruoming Pang, et al.. (2022). A Language Agnostic Multilingual Streaming On-Device ASR System. Interspeech 2022. 3188–3192. 9 indexed citations

10.

Hu, Ke, Tara N. Sainath, Arun Narayanan, Ruoming Pang, & Trevor Strohman. (2022). Transducer-Based Streaming Deliberation for Cascaded Encoders. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8107–8111. 4 indexed citations

11.

Sim, Khe Chai, et al.. (2022). Pseudo Label Is Better Than Human Label. Interspeech 2022. 1421–1425. 16 indexed citations

12.

Munkhdalai, Tsendsuren, Khe Chai Sim, Fan Gao, et al.. (2022). Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6632–6636. 15 indexed citations

13.

Huo, Zhouyuan, et al.. (2022). Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. Interspeech 2022. 4845–4849. 4 indexed citations

14.

Chang, Shuo-Yiin, et al.. (2022). Turn-Taking Prediction for Natural Conversational Speech. Interspeech 2022. 1821–1825. 8 indexed citations

15.

Li, Bo, Ruoming Pang, Yu Zhang, et al.. (2022). Massively Multilingual ASR: A Lifelong Learning Solution. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6397–6401. 22 indexed citations

16.

Ding, Shaojin, Weiran Wang, Ding Zhao, et al.. (2022). A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes. Interspeech 2022. 6 indexed citations

17.

Li, Bo, Anmol Gulati, Jiahui Yu, et al.. (2021). A Better and Faster end-to-end Model for Streaming ASR. 5634–5638. 67 indexed citations

18.

Hu, Ke, Ruoming Pang, Tara N. Sainath, & Trevor Strohman. (2021). Transformer Based Deliberation for Two-Pass Speech Recognition. 68–74. 18 indexed citations

19.

Sainath, Tara N., et al.. (2020). Emitting Word Timings with End-to-End Models. 3615–3619. 15 indexed citations

20.

Chang, Shuo-Yiin, Bo Li, David Rybach, et al.. (2020). Low Latency Speech Recognition Using End-to-End Prefetching. 1962–1966. 9 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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