John Butzberger
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Information Systems
- Co-authors
- Hy MurveitVassilios DigalakisHoracio FrancoM. WeintraubHarry BrattJing ZhengAndreas StolckeV.R.R. Gadde
- Topics
- Speech Recognition and Synthesis (13 papers)Natural Language Processing Techniques (7 papers)Music and Audio Processing (6 papers)
- Journals
- INFM-OAR (INFN Catania)IEEE International Conference on Acoustics Speech and Signal ProcessingInternational Conference on Acoustics, Speech, and Signal Processing
- Partner nations
- United States
In The Last Decade
John Butzberger
16 papers receiving 416 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 447
- Signal Processing 212
- Computer Vision and Pattern Recognition 49
- Experimental and Cognitive Psychology 43
- Information Systems 23
Countries citing papers authored by John Butzberger
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | The SRI EduSpeak System: Recognition and Pronunciation Scoring for Language Learning | 48 |
| 2 | DynaSpeak: SRI's scalable speech recognizer for embedded and mobile systems | 18 |
| 3 | 8 | |
| 4 | 58 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | THE SRI MARCH 2000 HUB-5 CONVERSATIONAL SPEECH TRANSCRIPTION SYSTEM | 119 |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 97 | |
| 11 | 14 | |
| 12 | 25 | |
| 13 | 16 | |
| 14 | 32 | |
| 15 | 16 | |
| 16 | 2 |
About John Butzberger
John Butzberger is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 490 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Natural Language Processing Techniques (7 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (212 citations), Artificial Intelligence (447 citations) and Experimental and Cognitive Psychology (43 citations). John Butzberger has collaborated with scholars based in United States. Frequent 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. Their work appears in 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.
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.