Fred Richardson

1.2k total citations · 1 hit paper
26 papers, 772 citations indexed

About

Fred Richardson is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fred Richardson has authored 26 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 14 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fred Richardson's work include Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (10 papers). Fred Richardson is often cited by papers focused on Speech Recognition and Synthesis (18 papers), Speech and Audio Processing (11 papers) and Music and Audio Processing (10 papers). Fred Richardson collaborates with scholars based in United States, Egypt and France. Fred Richardson's co-authors include Douglas A. Reynolds, Najim Dehak, Pedro A. Torres‐Carrasquillo, Alan McCree, Douglas Sturim, H. Gish, Man-Hung Siu, Elliot Singer, Timothy J. Hazen and William M. Campbell and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of the American Dental Association and IEEE Signal Processing Letters.

In The Last Decade

Fred Richardson

25 papers receiving 696 citations

Hit Papers

Deep Neural Network Approaches to Speaker and Language Re... 2015 2026 2018 2022 2015 50 100 150 200 250
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.

  1. Deep Neural Network Approaches to Speaker and Language Recognition
    2015 284 citations Fred Richardson, Douglas A. Reynolds et al. IEEE Signal Processing Letters profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred Richardson United States 13 651 528 51 29 27 26 772
Philip Rose Australia 11 346 0.5× 268 0.5× 22 0.4× 49 1.7× 122 4.5× 33 547
Zeyu Jin United States 12 253 0.4× 378 0.7× 133 2.6× 12 0.4× 13 0.5× 41 493
Simon Bozonnet France 7 384 0.6× 394 0.7× 59 1.2× 10 0.3× 26 1.0× 10 490
Krzysztof Marasek Poland 11 250 0.4× 113 0.2× 30 0.6× 11 0.4× 50 1.9× 36 356
Leibny Paola Garcia United States 15 696 1.1× 565 1.1× 32 0.6× 8 0.3× 22 0.8× 70 762
David Gelbart United States 11 647 1.0× 415 0.8× 62 1.2× 10 0.3× 82 3.0× 19 866
Xuanji He China 6 172 0.3× 283 0.5× 53 1.0× 6 0.2× 271 10.0× 8 434
P. Vijayalakshmi India 12 359 0.6× 248 0.5× 44 0.9× 16 0.6× 135 5.0× 101 582
Olivier Deroo Belgium 9 375 0.6× 259 0.5× 68 1.3× 8 0.3× 110 4.1× 19 517
Børge Lindberg Denmark 10 330 0.5× 302 0.6× 79 1.5× 12 0.4× 42 1.6× 40 417

Countries citing papers authored by Fred Richardson

Since Specialization
Citations

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

Fields of papers citing papers by Fred Richardson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Richardson

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

All Works

20 of 20 papers shown
1.
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
2.
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
3.
Richardson, Fred, Pedro A. Torres‐Carrasquillo, Douglas Sturim, et al.. (2018). The MIT Lincoln Laboratory / JHU / EPITA-LSE LRE17 System. 54–59.
4.
Torres‐Carrasquillo, Pedro A., Fred Richardson, Douglas Sturim, et al.. (2017). The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. 1333–1337. 9 indexed citations
5.
Richardson, Fred, et al.. (2016). Speaker Recognition Using Real vs Synthetic Parallel Data for DNN Channel Compensation. 2796–2800. 3 indexed citations
6.
Torres‐Carrasquillo, Pedro A., Najim Dehak, Elizabeth Godoy, et al.. (2016). The MITLL NIST LRE 2015 Language Recognition System. 196–203. 7 indexed citations
7.
Richardson, Fred, et al.. (2016). Channel Compensation for Speaker Recognition using MAP Adapted PLDA and Denoising DNNs. 225–230. 9 indexed citations
8.
Richardson, Fred, Douglas A. Reynolds, & Najim Dehak. (2015). Deep Neural Network Approaches to Speaker and Language Recognition. IEEE Signal Processing Letters. 22(10). 1671–1675. 284 indexed citations breakdown →
9.
Singer, Elliot, Pedro A. Torres‐Carrasquillo, Douglas A. Reynolds, et al.. (2012). The MITLL NIST LRE 2011 language recognition system.. 209–215. 32 indexed citations
10.
Hazen, Timothy J. & Fred Richardson. (2012). Modeling multiword phrases with constrained phrase trees for improved topic modeling of conversational speech. 222–227. 3 indexed citations
11.
Torres‐Carrasquillo, Pedro A., Elliot Singer, William M. Campbell, et al.. (2008). The MITLL NIST LRE 2007 language recognition system. 719–722. 34 indexed citations
12.
McCree, Alan, Fred Richardson, Elliot Singer, & Douglas A. Reynolds. (2008). Beyond frame independence: parametric modelling of time duration in speaker and language recognition. 767–770. 3 indexed citations
13.
Hazen, Timothy J. & Fred Richardson. (2008). A hybrid SVM/MCE training approach for vector space topic identification of spoken audio recordings. 2542–2545. 2 indexed citations
14.
Richardson, Fred & William M. Campbell. (2007). Discriminative Keyword Selection Using Support Vector Machines. Neural Information Processing Systems. 20. 209–216. 12 indexed citations
15.
Hazen, Timothy J., et al.. (2007). Topic identification from audio recordings using word and phone recognition lattices. 659–664. 32 indexed citations
16.
Brunette, Mary F., et al.. (2004). Integrated Family Treatment for Parents with Severe Psychiatric Disabilities.. Psychiatric Rehabilitation Journal. 28(2). 177–180. 12 indexed citations
17.
Kimball, Owen, et al.. (2002). Extracting descriptive noun phrases from conversational speech. IEEE International Conference on Acoustics Speech and Signal Processing. I–33. 3 indexed citations
18.
Matsoukas, Spyros, et al.. (2002). The 2001 BYBLOS English large vocabulary conversational speech recognition system. IEEE International Conference on Acoustics Speech and Signal Processing. I–721. 6 indexed citations
19.
Colthurst, Thomas, et al.. (2000). The 2000 BBN Byblos LVCSR system. Conference of the International Speech Communication Association. vol. 2, 1011–1014. 4 indexed citations
20.
Siu, Man-Hung, H. Gish, & Fred Richardson. (1997). Improved estimation, evaluation and applications of confidence measures for speech recognition. 831–834. 47 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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