Scott Wisdom
- Signal Processing top 2%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics
- Co-authors
- John R. HersheyBenjamin H. WatersJoshua R. SmithAlanson P. SampleLes AtlasHakan ErdoğanThomas A. PowersJonathan Le Roux
- Topics
- Speech and Audio Processing (27 papers)Music and Audio Processing (20 papers)Speech Recognition and Synthesis (13 papers)
- Journals
- Proceedings of the IEEEComputer Speech & LanguageIEEE/ACM Transactions on Audio Speech and Language Processing
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Scott Wisdom
28 papers receiving 498 citations
Peers
Comparison fields: 5 of 59
- Signal Processing 266
- Artificial Intelligence 186
- Electrical and Electronic Engineering 161
- Computer Vision and Pattern Recognition 76
- Computational Mechanics 54
Countries citing papers authored by Scott Wisdom
This map shows the geographic impact of Scott Wisdom'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 Scott Wisdom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Wisdom more than expected).
Fields of papers citing papers by Scott Wisdom
This network shows the impact of papers produced by Scott Wisdom. 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 Scott Wisdom. The network helps show where Scott Wisdom may publish in the future.
Co-authorship network of co-authors of Scott Wisdom
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Wisdom. A scholar is included among the top collaborators of Scott Wisdom 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 Scott Wisdom. Scott Wisdom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 30 | |
| 6 | 17 | |
| 7 | 0 | |
| 8 | Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds | 2 |
| 9 | 20 | |
| 10 | Unsupervised Sound Separation Using Mixture Invariant Training | 8 |
| 11 | Unsupervised Sound Separation Using Mixtures of Mixtures | 15 |
| 12 | 14 | |
| 13 | Improving Universal Sound Separation Using Sound Classification Presentation | 1 |
| 14 | 24 | |
| 15 | 20 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 156 |
About Scott Wisdom
Scott Wisdom is a scholar working on Signal Processing, Developmental Biology and Artificial Intelligence, having authored 30 papers that have together received 519 indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Music and Audio Processing (20 papers) and Speech Recognition and Synthesis (13 papers). The work is most often cited by research in Signal Processing (266 citations), Developmental Biology (29 citations) and Artificial Intelligence (186 citations). Scott Wisdom has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John R. Hershey, Benjamin H. Waters, Joshua R. Smith, Alanson P. Sample, Les Atlas, Hakan Erdoğan, Thomas A. Powers, Jonathan Le Roux, Shinji Watanabe and J.W. Pitton. Their work appears in journals such as Proceedings of the IEEE, Computer Speech & Language and IEEE/ACM 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.