John Butzberger

678 total citations
16 papers, 490 citations indexed

About

John Butzberger is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, John Butzberger has authored 16 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in John Butzberger's work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (6 papers). John Butzberger is often cited by papers focused on Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (6 papers). John Butzberger collaborates with scholars based in United States. John Butzberger's co-authors include Hy Murveit, Vassilios Digalakis, Horacio Franco, M. Weintraub, Harry Bratt, Jing Zheng, Andreas Stolcke, V.R.R. Gadde, Colleen Richey and E. Shriberg and has published in prestigious journals such as INFM-OAR (INFN Catania), IEEE International Conference on Acoustics Speech and Signal Processing and International Conference on Acoustics, Speech, and Signal Processing.

In The Last Decade

John Butzberger

16 papers receiving 416 citations

Peers

John Butzberger
Andrej Ljolje United States
U. Essen Germany
Daben Liu United States
Hy Murveit United States
J. J. Odell United Kingdom
Ivica Rogina United States
Andrej Ljolje United States
John Butzberger
Citations per year, relative to John Butzberger John Butzberger (= 1×) peers Andrej Ljolje

Countries citing papers authored by John Butzberger

Since Specialization
Citations

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

Fields of papers citing papers by John Butzberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Butzberger

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

All Works

16 of 16 papers shown
1.
Franco, Horacio, Victor Abrash, Kristin Precoda, et al.. (2007). The SRI EduSpeak System: Recognition and Pronunciation Scoring for Language Learning. 48 indexed citations
2.
Franco, Horacio, Jing Zheng, John Butzberger, et al.. (2002). DynaSpeak: SRI's scalable speech recognizer for embedded and mobile systems. 25–30. 18 indexed citations
3.
Franco, Horacio, Jing Zheng, John Butzberger, et al.. (2002). DynaSpeak. 25–25. 8 indexed citations
4.
Bellegarda, J.R., et al.. (2002). A novel word clustering algorithm based on latent semantic analysis. 1. 172–175. 58 indexed citations
5.
Butzberger, John, et al.. (2002). Isolated word intonation recognition using hidden Markov models. International Conference on Acoustics, Speech, and Signal Processing. 2. 773–776. 2 indexed citations
6.
Zheng, Jing, John Butzberger, Horacio Franco, & Andreas Stolcke. (2001). Improved maximum mutual information estimation training of continuous density HMMs. 679–682. 13 indexed citations
7.
Stolcke, Andreas, Harry Bratt, John Butzberger, et al.. (2000). THE SRI MARCH 2000 HUB-5 CONVERSATIONAL SPEECH TRANSCRIPTION SYSTEM. 119 indexed citations
8.
Bellegarda, J.R., et al.. (1996). Automatic Discovery Of Word Classes Through Latent Semantic Analysis. INFM-OAR (INFN Catania). 1 indexed citations
9.
Murveit, Hy, et al.. (1994). Techniques to achieve an accurate real-time large-vocabulary speech recognition system. 393–393. 21 indexed citations
10.
Murveit, Hy, John Butzberger, Vassilios Digalakis, & M. Weintraub. (1993). Large-vocabulary dictation using SRI's DECIPHER speech recognition system: progressive search techniques. IEEE International Conference on Acoustics Speech and Signal Processing. 319–322 vol.2. 97 indexed citations
11.
Murveit, Hy, et al.. (1993). Progressive-search algorithms for large-vocabulary speech recognition. 87–87. 14 indexed citations
12.
Murveit, Hy, et al.. (1992). Reduced channel dependence for speech recognition. 280–280. 25 indexed citations
13.
Murveit, Hy, et al.. (1992). Performance of SRI's DECIPHER#8482; speech recognition system on DARPA's CSR task. 410–410. 16 indexed citations
14.
Butzberger, John, Hy Murveit, Elizabeth Shriberg, & Patti Price. (1992). Spontaneous speech effects in large vocabulary speech recognition applications. 339–339. 32 indexed citations
15.
Murveit, Hy, et al.. (1991). Speech recognition in SRI's resource management and ATIS systems. 94–100. 16 indexed citations
16.
Price, Patti, Victor Abrash, John Bear, et al.. (1990). Spoken language system integration and development. 729–732. 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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