Alan McCree

3.5k total citations
84 papers, 2.1k citations indexed

About

Alan McCree is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alan McCree has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Signal Processing, 60 papers in Artificial Intelligence and 34 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alan McCree's work include Speech and Audio Processing (61 papers), Speech Recognition and Synthesis (58 papers) and Music and Audio Processing (35 papers). Alan McCree is often cited by papers focused on Speech and Audio Processing (61 papers), Speech Recognition and Synthesis (58 papers) and Music and Audio Processing (35 papers). Alan McCree collaborates with scholars based in United States, Germany and Greece. Alan McCree's co-authors include Daniel Garcia-Romero, T.P. Barnwell, Gregory Sell, David Snyder, Daniel Povey, Sanjeev Khudanpur, Pedro A. Torres‐Carrasquillo, V. Viswanathan, Douglas Sturim and John Collura and has published in prestigious journals such as IEEE Transactions on Speech and Audio Processing, Computer Speech & Language and INFM-OAR (INFN Catania).

In The Last Decade

Alan McCree

79 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan McCree United States	23	1.7k	1.6k	507	138	96	84	2.1k
Joseph P. Campbell United States	22	1.4k 0.8×	1.4k 0.9×	252 0.5×	43 0.3×	103 1.1×	62	1.8k
Seiichi Nakagawa Japan	21	1.0k 0.6×	1.3k 0.8×	187 0.4×	58 0.4×	159 1.7×	257	1.6k
Thomas Hain United Kingdom	24	1.4k 0.8×	2.0k 1.2×	236 0.5×	60 0.4×	280 2.9×	187	2.3k
PC Woodland United Kingdom	16	1.4k 0.8×	1.7k 1.0×	372 0.7×	61 0.4×	231 2.4×	36	2.1k
Xavier Anguera Spain	21	1.4k 0.8×	1.4k 0.8×	273 0.5×	74 0.5×	60 0.6×	82	1.8k
Kris Demuynck Belgium	21	1.3k 0.8×	1.8k 1.1×	197 0.4×	36 0.3×	163 1.7×	114	2.1k
Vijayaditya Peddinti United States	15	2.0k 1.1×	2.5k 1.5×	168 0.3×	50 0.4×	187 1.9×	22	2.8k
Frédéric Bimbot France	24	1.6k 0.9×	1.3k 0.8×	461 0.9×	320 2.3×	51 0.5×	116	2.1k
Philip N. Garner Switzerland	22	922 0.5×	1.0k 0.6×	110 0.2×	156 1.1×	227 2.4×	139	1.5k
Inma Hernáez Spain	18	1.1k 0.7×	1.1k 0.6×	565 1.1×	35 0.3×	376 3.9×	93	1.7k

Countries citing papers authored by Alan McCree

Since Specialization

Citations

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

Fields of papers citing papers by Alan McCree

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan McCree

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

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

3.

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

4.

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

5.

McCree, Alan, et al.. (2016). Augmented Data Training of Joint Acoustic/Phonotactic DNN i-vectors for NIST LRE15. 204–209. 9 indexed citations

6.

Ferraro, Francis, et al.. (2015). Topic Identification and Discovery on Text and Speech. 2377–2387. 6 indexed citations

7.

Garcia-Romero, Daniel, et al.. (2014). Improving speaker recognition performance in the domain adaptation challenge using deep neural networks. 378–383. 53 indexed citations

8.

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

9.

Campbell, William M., Douglas Sturim, Bengt Borgström, et al.. (2012). Exploring the impact of advanced front-end processing on NIST speaker recognition microphone tasks.. 180–186. 3 indexed citations

10.

McCree, Alan. (2010). Estimating and Exploiting Language Distributions of Unlabeled Data.. 36. 2 indexed citations

11.

McCree, Alan, Kevin Brady, & Thomas F. Quatieri. (2008). Multisensor very lowbit rate speech coding using segment quantization. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 3997–4000. 5 indexed citations

12.

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

13.

Arslan, Levent M., Alan McCree, & V. Viswanathan. (2002). New methods for adaptive noise suppression. 1. 812–815. 32 indexed citations

14.

Collura, John, et al.. (2002). MELP: the new Federal Standard at 2400 bps. 2. 1591–1594. 118 indexed citations

15.

McCree, Alan. (2002). A 14 kb/s wideband speech coder with a parametric highband model. 2. II1153–II1156. 21 indexed citations

16.

McCree, Alan, et al.. (2002). An embedded adaptive multi-rate wideband speech coder. 2. 761–764. 8 indexed citations

17.

McCree, Alan. (2000). A 14kb/s wideband speech coder with a parametric highband model. Medical Entomology and Zoology. 11 indexed citations

18.

McCree, Alan, et al.. (2000). Combining Parametric And Waveform-Matching Coders For Low Bit-Rate Speech Coding. INFM-OAR (INFN Catania). 1–4. 2 indexed citations

19.

McCree, Alan, et al.. (1999). High quality MELP coding at bit-rates around 4 kb/s. 485–488 vol.1. 11 indexed citations

20.

McCree, Alan. (1995). A Mixed Wxcitation LPC Vocoder Model for Low Bit Rate Speech Codeing. 3. 4. 7 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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