Gregory Sell

4.6k total citations · 1 hit paper
38 papers, 2.6k citations indexed

About

Gregory Sell is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gregory Sell has authored 38 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Signal Processing, 31 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gregory Sell's work include Speech and Audio Processing (32 papers), Speech Recognition and Synthesis (30 papers) and Music and Audio Processing (23 papers). Gregory Sell is often cited by papers focused on Speech and Audio Processing (32 papers), Speech Recognition and Synthesis (30 papers) and Music and Audio Processing (23 papers). Gregory Sell collaborates with scholars based in United States, Belgium and Greece. Gregory Sell's co-authors include Daniel Garcia-Romero, David Snyder, Daniel Povey, Sanjeev Khudanpur, Alan McCree, Jesús Villalba, Najim Dehak, Nanxin Chen, Shinji Watanabe and Leibny Paola Garcia and has published in prestigious journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Audio Speech and Language Processing and Computer Speech & Language.

In The Last Decade

Gregory Sell

35 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

X-Vectors: Robust DNN Embeddings for Speaker Recognition

2018 1.5k citations David Snyder, Daniel Garcia-Romero et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory Sell United States	17	2.4k	2.1k	159	122	99	38	2.6k
Vijayaditya Peddinti United States	15	2.5k 1.0×	2.0k 0.9×	168 1.1×	187 1.5×	92 0.9×	22	2.8k
Réda Dehak France	13	3.1k 1.3×	2.8k 1.4×	255 1.6×	170 1.4×	88 0.9×	25	3.3k
Tom Ko China	13	1.6k 0.7×	1.3k 0.6×	167 1.1×	107 0.9×	54 0.5×	44	1.8k
Ignacio López Moreno United States	16	2.2k 0.9×	1.9k 0.9×	188 1.2×	61 0.5×	41 0.4×	56	2.5k
Thomas Hain United Kingdom	24	2.0k 0.8×	1.4k 0.7×	236 1.5×	280 2.3×	128 1.3×	187	2.3k
Pierre Ouellet Canada	18	4.2k 1.7×	3.9k 1.9×	326 2.1×	158 1.3×	106 1.1×	31	4.5k
Naoyuki Kanda United States	23	1.9k 0.8×	1.5k 0.7×	177 1.1×	152 1.2×	50 0.5×	82	2.3k
Shigeki Karita Japan	13	1.5k 0.6×	1.1k 0.5×	116 0.7×	72 0.6×	40 0.4×	26	1.8k
Eduardo Lleida Spain	18	984 0.4×	850 0.4×	159 1.0×	142 1.2×	139 1.4×	145	1.3k
K. Sri Rama Murty India	14	1.1k 0.5×	1.1k 0.6×	177 1.1×	316 2.6×	134 1.4×	58	1.5k

Countries citing papers authored by Gregory Sell

Since Specialization

Citations

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

Fields of papers citing papers by Gregory Sell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory Sell

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

Garcia-Romero, Daniel, Alan McCree, David Snyder, & Gregory Sell. (2020). Jhu-HLTCOE System for the Voxsrc Speaker Recognition Challenge. 7559–7563. 23 indexed citations

2.

Sell, Gregory, et al.. (2020). A Practical Two-Stage Training Strategy for Multi-Stream End-to-End Speech Recognition. 7014–7018. 3 indexed citations

3.

Villalba, Jesús, Nanxin Chen, David Snyder, et al.. (2019). State-of-the-Art Speaker Recognition for Telephone and Video Speech: The JHU-MIT Submission for NIST SRE18. 1488–1492. 50 indexed citations

4.

Sell, Gregory, et al.. (2019). Performance Monitoring for End-to-End Speech Recognition. 2245–2249.

5.

Sell, Gregory, et al.. (2019). Script Identification using Across- and Within-Image Distribution Estimation. 1084–1089. 1 indexed citations

6.

Villalba, Jesús, Nanxin Chen, David Snyder, et al.. (2019). State-of-the-art speaker recognition with neural network embeddings in NIST SRE18 and Speakers in the Wild evaluations. Computer Speech & Language. 60. 101026–101026. 78 indexed citations

7.

Sell, Gregory, et al.. (2019). Deriving Spectro-temporal Properties of Hearing from Speech Data. 2015. 411–415. 4 indexed citations

8.

Snyder, David, Daniel Garcia-Romero, Gregory Sell, et al.. (2019). Speaker Recognition for Multi-speaker Conversations Using X-vectors. 5796–5800. 180 indexed citations

9.

Garcia-Romero, Daniel, David Snyder, Gregory Sell, et al.. (2019). x-Vector DNN Refinement with Full-Length Recordings for Speaker Recognition. 22 indexed citations

10.

Snyder, David, Daniel Garcia-Romero, Alan McCree, et al.. (2018). Spoken Language Recognition using X-vectors. 105–111. 121 indexed citations

11.

Sell, Gregory, David Snyder, Alan McCree, et al.. (2018). Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge. 2808–2812. 115 indexed citations

12.

Snyder, David, Daniel Garcia-Romero, Gregory Sell, Daniel Povey, & Sanjeev Khudanpur. (2018). X-Vectors: Robust DNN Embeddings for Speaker Recognition. 5329–5333. 1491 indexed citations breakdown →

13.

Gao, Ning, Gregory Sell, Douglas W. Oard, & Mark Dredze. (2017). Leveraging side information for speaker identification with the Enron conversational telephone speech collection. 577–583. 1 indexed citations

14.

Garcia-Romero, Daniel, David Snyder, Gregory Sell, Daniel Povey, & Alan McCree. (2017). Speaker diarization using deep neural network embeddings. 4930–4934. 116 indexed citations

15.

McCree, Alan, Gregory Sell, & Daniel Garcia-Romero. (2017). Extended Variability Modeling and Unsupervised Adaptation for PLDA Speaker Recognition. 1552–1556. 9 indexed citations

16.

Sell, Gregory, Clara Suied, Mounya Elhilali, & Shihab Shamma. (2015). Perceptual susceptibility to acoustic manipulations in speaker discrimination. The Journal of the Acoustical Society of America. 137(2). 911–922. 7 indexed citations

17.

Lyzinski, Vince, Gregory Sell, & Aren Jansen. (2015). An evaluation of graph clustering methods for unsupervised term discovery. 3209–3213. 15 indexed citations

18.

Sell, Gregory, et al.. (2015). Content-based recommender systems for spoken documents. 5201–5205. 6 indexed citations

19.

Sell, Gregory. (2013). Optimizing coherent demodulation for improved separation of overlapping sources. 901–904.

20.

Sell, Gregory, et al.. (2011). A novel approach using modulation features for multiphone-based speech recognition. 5264–5267. 2 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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