Daniel Willett
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech and Audio Processing 23
- Music and Audio Processing 15
-
- Speech Recognition and Synthesis 36
- Natural Language Processing Techniques 13
- Topic Modeling 5
- Co-authors
- Gerhard Rigoll (24 shared papers)Joel Pinto (3 shared papers)Andreas Kosmala (5 shared papers)Deniz Gunceler (2 shared papers)Yulan Liu (2 shared papers)Martha Larson (1 shared paper)Zoltán Tüske (1 shared paper)Joachim Köhler (1 shared paper)
- Journals
- IEEE Transactions on Consumer Electronics (1 paper)IEEE Transactions on Speech and Audio Processing (1 paper)arXiv (Cornell University) (2 papers)Neural Information Processing Systems (1 paper)DuEPublico (University of Duisburg-Essen) (1 paper)
- Partner nations
- GermanyJapanUnited Kingdom
In The Last Decade
Daniel Willett
43 papers receiving 411 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 232
- Artificial Intelligence 424
- Computer Vision and Pattern Recognition 90
- Human-Computer Interaction 22
- Experimental and Cognitive Psychology 28
Countries citing papers authored by Daniel Willett
This map shows the geographic impact of Daniel Willett'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 Daniel Willett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Willett more than expected).
Fields of papers citing papers by Daniel Willett
This network shows the impact of papers produced by Daniel Willett. 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 Daniel Willett. The network helps show where Daniel Willett may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Willett, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2013 | 42 | |
| 3 | 2000 | 42 | |
| 4 | Child automatic speech recognition for US English: child interaction with living-room-electronic-devices. | 2014 | 31 |
| 5 | 2019 | 28 | |
| 6 | 1998 | 25 | |
| 7 | 2002 | 22 | |
| 8 | 2002 | 22 | |
| 9 | 2014 | 20 | |
| 10 | 1999 | 19 | |
| 11 | 2002 | 17 | |
| 12 | 2019 | 16 | |
| 13 | Language identification and multilingual speech recognition using discriminatively trained acoustic models | 2006 | 13 |
| 14 | 2003 | 11 | |
| 15 | 2002 | 11 | |
| 16 | 2001 | 10 | |
| 17 | 1999 | 10 | |
| 18 | 2006 | 9 | |
| 19 | 1997 | 9 | |
| 20 | 2002 | 8 |
About Daniel Willett
Daniel Willett is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction and Music, having authored 47 papers that have together received 491 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (36 papers), Speech and Audio Processing (23 papers), Music and Audio Processing (15 papers), Natural Language Processing Techniques (13 papers), Advanced Data Compression Techniques (7 papers), Handwritten Text Recognition Techniques (6 papers), Image Processing and 3D Reconstruction (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Signal Processing (232 citations), Artificial Intelligence (424 citations), Computer Vision and Pattern Recognition (90 citations), Human-Computer Interaction (22 citations) and Experimental and Cognitive Psychology (28 citations). Daniel Willett has collaborated with scholars based in Germany, Japan and United Kingdom. Frequent co-authors include Gerhard Rigoll, Joel Pinto, Andreas Kosmala, Deniz Gunceler, Yulan Liu, Martha Larson, Zoltán Tüske, Joachim Köhler, Ralf Schlüter and Shigeru Katagiri. Their work appears in journals such as IEEE Transactions on Consumer Electronics, IEEE Transactions on Speech and Audio Processing, arXiv (Cornell University), Neural Information Processing Systems and DuEPublico (University of Duisburg-Essen).
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.