Torbjørn Svendsen
- Artificial Intelligence top 2%
- Signal Processing top 1%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Physiology
- Co-authors
- Sabato Marco SiniscalchiChin‐Hui LeeFrank K. SoongDau-Cheng LyuGiampiero SalviHeiko PurnhagenJ. PihlAli Shariq Imran
- Topics
- Speech Recognition and Synthesis (54 papers)Speech and Audio Processing (37 papers)Music and Audio Processing (28 papers)
- Partner nations
- NorwayUnited StatesItaly
In The Last Decade
Torbjørn Svendsen
64 papers receiving 596 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 602
- Signal Processing 470
- Experimental and Cognitive Psychology 106
- Computer Vision and Pattern Recognition 73
- Physiology 23
Countries citing papers authored by Torbjørn Svendsen
This map shows the geographic impact of Torbjørn Svendsen'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 Torbjørn Svendsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torbjørn Svendsen more than expected).
Fields of papers citing papers by Torbjørn Svendsen
This network shows the impact of papers produced by Torbjørn Svendsen. 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 Torbjørn Svendsen. The network helps show where Torbjørn Svendsen may publish in the future.
Co-authorship network of co-authors of Torbjørn Svendsen
This figure shows the co-authorship network connecting the top 25 collaborators of Torbjørn Svendsen. A scholar is included among the top collaborators of Torbjørn Svendsen 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 Torbjørn Svendsen. Torbjørn Svendsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 40 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | NameDat: A Database of English Proper Names Spoken by Native Norwegians. | 2 |
| 11 | Spontal-N: A Corpus of Interactional Spoken Norwegian | 2 |
| 12 | 11 | |
| 13 | RUNDKAST: an Annotated Norwegian Broadcast News Speech Corpus | 6 |
| 14 | 6 | |
| 15 | FonDat1: A Speech Synthesis Corpus for Norwegian | 5 |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 33 | |
| 19 | Combined Optimisation of Baseforms and Subword Models for an Hmm Based Speech Recogniser | 2 |
| 20 | 1 |
About Torbjørn Svendsen
Torbjørn Svendsen is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 73 papers that have together received 676 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (54 papers), Speech and Audio Processing (37 papers) and Music and Audio Processing (28 papers). The work is most often cited by research in Signal Processing (470 citations), Artificial Intelligence (602 citations) and Experimental and Cognitive Psychology (106 citations). Torbjørn Svendsen has collaborated with scholars based in Norway, United States and Italy. Frequent co-authors include Sabato Marco Siniscalchi, Chin‐Hui Lee, Frank K. Soong, Dau-Cheng Lyu, Giampiero Salvi, Heiko Purnhagen, J. Pihl, Ali Shariq Imran, Ondřej Glembek and Lukáš Burget. Their work appears in journals such as IEEE Access, Neurocomputing and IEEE Transactions on Audio Speech and Language 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.