Mike Seltzer

1.5k total citations
17 papers, 311 citations indexed

About

Mike Seltzer is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Mike Seltzer has authored 17 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Signal Processing and 1 paper in Information Systems. Recurrent topics in Mike Seltzer's work include Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (7 papers) and Natural Language Processing Techniques (7 papers). Mike Seltzer is often cited by papers focused on Speech Recognition and Synthesis (15 papers), Speech and Audio Processing (7 papers) and Natural Language Processing Techniques (7 papers). Mike Seltzer collaborates with scholars based in United States, Israel and United Kingdom. Mike Seltzer's co-authors include Dong Yu, Yifan Gong, Jian Xue, Jinyu Li, Yangyang Shi, Chunyang Wu, Julian Chan, Frank Zhang, Ching-Feng Yeh and Duc Le and has published in prestigious journals such as Neural Information Processing Systems and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Mike Seltzer

14 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mike Seltzer United States	7	265	196	45	7	6	17	311
Mahsa Yarmohammadi United States	6	307 1.2×	174 0.9×	27 0.6×	7 1.0×	5 0.8×	14	334
Vitaly Lavrukhin United States	6	312 1.2×	214 1.1×	44 1.0×	6 0.9×	5 0.8×	20	371
Kofi Boakye United States	8	204 0.8×	148 0.8×	48 1.1×	9 1.3×	13 2.2×	16	259
Jay Mahadeokar United States	8	324 1.2×	201 1.0×	23 0.5×	4 0.6×	7 1.2×	28	372
Matt Shannon United Kingdom	11	317 1.2×	250 1.3×	26 0.6×	9 1.3×	4 0.7×	13	372
Hainan Xu United States	10	547 2.1×	298 1.5×	46 1.0×	11 1.6×	6 1.0×	22	585
Zhendong Peng China	8	269 1.0×	197 1.0×	29 0.6×	15 2.1×	12 2.0×	13	326
Franco Mana Italy	10	369 1.4×	285 1.5×	40 0.9×	10 1.4×	9 1.5×	41	419
Debadatta Pati India	11	229 0.9×	232 1.2×	29 0.6×	9 1.3×	20 3.3×	39	269

Countries citing papers authored by Mike Seltzer

Since Specialization

Citations

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

Fields of papers citing papers by Mike Seltzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Seltzer

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

All Works

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17 of 17 papers shown

Guo, Jinxi, et al.. (2025). Transducer-Llama: Integrating LLMs into Streamable Transducer-based Speech Recognition. 1–5.

Shen, Mouquan, et al.. (2025). Get Large Language Models Ready to Speak: A Late-fusion Approach for Speech Generation. 1–5. 2 indexed citations

Wu, Chunyang, Ke Li, Junteng Jia, et al.. (2024). AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs. 5522–5532. 6 indexed citations

Shangguan, Yuan, Haichuan Yang, Danni Li, et al.. (2024). TODM: Train Once Deploy Many Efficient Supernet-Based RNN-T Compression For On-Device ASR Models. 10216–10220.

Wu, Chunyang, Junteng Jia, Yuan Shangguan, et al.. (2024). Prompting Large Language Models with Speech Recognition Abilities. 13351–13355. 40 indexed citations

Guo, Jinxi, Niko Moritz, Frank Seide, et al.. (2024). Effective Internal Language Model Training and Fusion for Factorized Transducer Model. 12687–12691. 1 indexed citations

Liang, Dawei, Hang Su, T. P. Singh, et al.. (2023). Dynamic Speech Endpoint Detection with Regression Targets. 1–5.

Wu, Chunyang, Yuan Shangguan, Junteng Jia, et al.. (2023). Multi-Head State Space Model for Speech Recognition. 241–245. 6 indexed citations

Shi, Yangyang, Chunyang Wu, Dilin Wang, et al.. (2022). Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8277–8281. 9 indexed citations

10.

Shi, Yangyang, Yongqiang Wang, Chunyang Wu, et al.. (2021). Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition. 6783–6787. 88 indexed citations

11.

Manohar, Vimal, David Zhang, Frank Zhang, et al.. (2021). On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models. 1026–1033. 7 indexed citations

12.

Xue, Jian, Jinyu Li, Dong Yu, Mike Seltzer, & Yifan Gong. (2014). Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network. 6359–6363. 112 indexed citations

13.

Boulanger-Lewandowski, Nicolas, Jasha Droppo, Mike Seltzer, & Dong Yu. (2014). Phone sequence modeling with recurrent neural networks. 29. 5417–5421. 6 indexed citations

14.

Guenter, Brian, et al.. (2013). Stochastic Gradient Descent Algorithm in the Computational Network Toolkit. Neural Information Processing Systems. 4 indexed citations

15.

Song, Young-In, Ye‐Yi Wang, Yun‐Cheng Ju, et al.. (2009). Voice search of structured media data. 3941–3944. 21 indexed citations

16.

Yu, Dong, Jasha Droppo, Jian Wu, et al.. (2008). Robust speech recognition using cepstral minimum-mean-square-error noise suppressor. 16(5). 5 indexed citations

17.

Seltzer, Michael L. & Mike Seltzer. (2000). Detection of Corrupted Speech Features for Robust Speech Recognition. 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.

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