David S. Pallett

3.7k total citations · 1 hit paper
34 papers, 1.6k citations indexed

About

David S. Pallett is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, David S. Pallett has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 16 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in David S. Pallett's work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (12 papers) and Speech and dialogue systems (11 papers). David S. Pallett is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (12 papers) and Speech and dialogue systems (11 papers). David S. Pallett collaborates with scholars based in United States, Egypt and United Kingdom. David S. Pallett's co-authors include William M. Fisher, John S. Garofolo, Jonathan G. Fiscus, Lori Lamel, P. Price, Jacob Bernstein, Mark A. Przybocki, Deborah A. Dahl, Alexander I. Rudnicky and Madeleine Bates and has published in prestigious journals such as Communications of the ACM, The Journal of the Acoustical Society of America and Speech Communication.

In The Last Decade

David S. Pallett

33 papers receiving 1.4k 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.

Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST

1993 523 citations John S. Garofolo, William M. Fisher et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Pallett United States	14	1.1k	798	211	133	114	34	1.6k
John S. Garofolo United States	20	1.4k 1.3×	864 1.1×	636 3.0×	120 0.9×	111 1.0×	47	2.1k
Michiel Bacchiani United States	24	1.6k 1.4×	1.1k 1.3×	142 0.7×	151 1.1×	74 0.6×	66	1.9k
Yifan Gong United States	23	2.1k 1.9×	1.9k 2.4×	288 1.4×	136 1.0×	85 0.7×	103	2.7k
D. R. Reddy United States	16	623 0.6×	328 0.4×	132 0.6×	318 2.4×	163 1.4×	59	1.2k
Lin-shan Lee Taiwan	23	2.4k 2.2×	1.4k 1.8×	437 2.1×	74 0.6×	242 2.1×	269	2.8k
Joseph P. Campbell United States	22	1.4k 1.3×	1.4k 1.7×	252 1.2×	43 0.3×	103 0.9×	62	1.8k
J.-L. Gauvain France	24	2.4k 2.2×	1.7k 2.2×	367 1.7×	40 0.3×	148 1.3×	65	2.8k
Andrzej Drygajlo Switzerland	21	712 0.7×	996 1.2×	521 2.5×	92 0.7×	57 0.5×	115	1.4k
Satoshi Nakamura Japan	16	399 0.4×	576 0.7×	144 0.7×	244 1.8×	25 0.2×	133	1.2k

Countries citing papers authored by David S. Pallett

Since Specialization

Citations

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

Fields of papers citing papers by David S. Pallett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Pallett. 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 David S. Pallett. The network helps show where David S. Pallett may publish in the future.

Co-authorship network of co-authors of David S. Pallett

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Pallett. A scholar is included among the top collaborators of David S. Pallett 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 David S. Pallett. David S. Pallett 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.

Martín, Alvin F., et al.. (2004). NIST Language Technology Evaluation Cookbook. 5 indexed citations

2.

Pallett, David S.. (2004). A look at NIST'S benchmark ASR tests: past, present, and future. 483–488. 44 indexed citations

3.

Pallett, David S.. (2003). Benchmark tests for DARPA resource management database performance evaluations. International Conference on Acoustics, Speech, and Signal Processing. 536–539. 5 indexed citations

4.

Price, P., William M. Fisher, Jacob Bernstein, & David S. Pallett. (2003). The DARPA 1000-word resource management database for continuous speech recognition. 651–654. 124 indexed citations

5.

Garofolo, John S., Jonathan G. Fiscus, Alvin F. Martín, David S. Pallett, & Mark A. Przybocki. (2002). NIST Rich Transcription 2002 Evaluation: A Preview.. Language Resources and Evaluation. 7 indexed citations

6.

Pallett, David S.. (2002). The role of the National Institute of Standards and Technology in DARPA's Broadcast News continuous speech recognition research program. Speech Communication. 37(1-2). 3–14. 9 indexed citations

7.

Pallett, David S., Jonathan G. Fiscus, John S. Garofolo, Alvin F. Martín, & Mark A. Przybocki. (1998). 1998 Broadcast News Benchmark Test Results: English and Non-English Word Error Rate Performance Measures. 42(18). 53–4. 36 indexed citations

8.

Fisher, William M., Walter Liggett, Angelina Nhat Hanh Le, Jonathan G. Fiscus, & David S. Pallett. (1998). Data Selection for Broadcast News CSR Evaluations. 4 indexed citations

9.

Pallett, David S. & Adrian Fourcin. (1997). Speech input: assessment and evaluation. Cambridge University Press eBooks. 425–429. 1 indexed citations

10.

Pallett, David S. & Janet M. Baker. (1997). Tests, measurements, and automatic speech recognition. 5(3). 115–117. 2 indexed citations

11.

Pallett, David S., Jonathan G. Fiscus, William M. Fisher, & John S. Garofolo. (1997). Use of broadcast news materials for speech recognition benchmark tests. 1903–1906. 1 indexed citations

12.

Pallett, David S., et al.. (1992). DARPA February 1992 ATIS benchmark test results. 15–15. 12 indexed citations

13.

Pallett, David S.. (1992). DARPA February 1992 pilot corpus CSR "dry run" benchmark test results. 382–382. 5 indexed citations

14.

Pallett, David S.. (1991). Session 2. 49–58. 8 indexed citations

15.

Picone, J., George R. Doddington, & David S. Pallett. (1990). Phone-mediated word alignment for speech recognition evaluation. IEEE Transactions on Acoustics Speech and Signal Processing. 38(3). 559–562. 9 indexed citations

16.

Garofolo, John S. & David S. Pallett. (1989). Use of CD-ROM for speech database storage and exchange. 2309–2312. 4 indexed citations

17.

Pallett, David S.. (1988). Benchmark test procedures for automatic speech recognition systems. The Journal of the Acoustical Society of America. 84(S1). S215–S215. 1 indexed citations

18.

Fisher, William M., Victor W. Zue, Jared Bernstein, & David S. Pallett. (1987). An acoustic-phonetic data base. The Journal of the Acoustical Society of America. 81(S1). S92–S93. 75 indexed citations

19.

Pallett, David S.. (1985). Performance assessment of automatic speech recognizers. Journal of Research of the National Bureau of Standards. 90(5). 371–371. 27 indexed citations

20.

Pallett, David S., et al.. (1976). A small-scale multi-purpose reverberation room. Applied Acoustics. 9(4). 287–302. 6 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.

Explore authors with similar magnitude of impact