The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Frank Seide sits on this spectrum.
This scientist: 149 publications — 26th percentile
26% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Frank Seide sits on this spectrum.
This scientist: 50 D-Index — 62nd percentile
62% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Frank Seide is affiliated with Microsoft in the United States. Their research work primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence and Signal Processing. Their scientific contributions cover areas such as Speech Recognition and Synthesis, Music and Audio Processing, Natural Language Processing Techniques, and Domain Adaptation.
Seide has published extensively in venues like arXiv (Cornell University), Interspeech 2022, and the 2022 IEEE Spoken Language Technology Workshop (SLT). The majority of their publications appear on arXiv, which accounts for a dozen research papers.
Their recent papers include:
Seide's research topics highlight a concentration on Speech and Audio Processing, including specialized areas such as Speech and Dialogue Systems and Handwritten Text Recognition Techniques. They also engage with contemporary challenges in Domain Adaptation and Few-Shot Learning.
Frequent collaborators in their work include Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Junteng Jia, and Niko Moritz, with cooperative publication counts ranging from four to six joint papers per coauthor.
Their research output reflects ongoing contributions to advancing techniques in speech recognition and audio processing, particularly in large-scale and noisy environments. The combination of theoretical and applied research in automatic speech recognition and multimodal language models underscores the breadth and depth of their work.
Frank Seide;Gang Li;Dong Yu
Li Deng;Jinyu Li;Jui-Ting Huang;Kaisheng Yao
Frank Seide;Hao Fu;Jasha Droppo;Gang Li
Frank Seide;Gang Li;Xie Chen;Dong Yu
Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary
Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide
Marcin Junczys-Dowmunt;Roman Grundkiewicz;Tomasz Dwojak;Hieu Hoang
Frank Seide;Amit Agarwal
Dong Yu;Kaisheng Yao;Hang Su;Gang Li
Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao
Harald Aust;Martin Oerder;Frank Seide;Volker Steinbiss
W. Xiong;J. Droppo;X. Huang;F. Seide
Kaisheng Yao;Dong Yu;Frank Seide;Hang Su
Dong Yu;Michael L. Seltzer;Jinyu Li;Jui-Ting Huang
Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide
Frank T. B. Seide;Lie Lu;Neema M. Moraveji;Roger Peng Yu
F. Seide;B. Rueber;A. Kellner
Dong Yu;Frank Seide;Gang Li;Li Deng
Hang Su;Gang Li;Dong Yu;Frank Seide
Dong Yu;Frank Seide;Gang Li
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