Nicolas Scheffer
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 37
- Natural Language Processing Techniques 11
- Topic Modeling 1
-
- Speech and Audio Processing 32
- Music and Audio Processing 28
- Co-authors
- Luciana Ferrer (24 shared papers)Yun Lei (20 shared papers)Mitchell McLaren (15 shared papers)Lukáš Burget (5 shared papers)Martin Graciarena (9 shared papers)Jean-François Bonastre (4 shared papers)Driss Matrouf (2 shared papers)Benoît Fauve (2 shared papers)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)NTCIR (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Nicolas Scheffer
38 papers receiving 1.0k citations
Nicolas Scheffer's Hit Papers
Peers
Comparison fields: 5 of 49
- Signal Processing 1.0k
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 63
- Experimental and Cognitive Psychology 37
- Developmental Biology 6
Countries citing papers authored by Nicolas Scheffer
This map shows the geographic impact of Nicolas Scheffer'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 Nicolas Scheffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Scheffer more than expected).
Fields of papers citing papers by Nicolas Scheffer
This network shows the impact of papers produced by Nicolas Scheffer. 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 Nicolas Scheffer. The network helps show where Nicolas Scheffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Scheffer, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A novel scheme for speaker recognition using a phonetically-aware deep neural network Hit paper breakdown → | 2014 | 343 |
| 2 | 2007 | 75 | |
| 3 | 2012 | 70 | |
| 4 | 2013 | 57 | |
| 5 | 2014 | 52 | |
| 6 | 2015 | 51 | |
| 7 | 2007 | 50 | |
| 8 | 2013 | 40 | |
| 9 | 2014 | 39 | |
| 10 | 2009 | 34 | |
| 11 | 2013 | 31 | |
| 12 | 2011 | 27 | |
| 13 | 2010 | 27 | |
| 14 | 2013 | 26 | |
| 15 | 2012 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2013 | 21 | |
| 18 | A unified approach for audio characterization and its application to speaker recognition. | 2012 | 17 |
| 19 | Detecting nonnative speech using speaker recognition approaches. | 2008 | 16 |
| 20 | 2014 | 16 |
About Nicolas Scheffer
Nicolas Scheffer is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Infectious Diseases, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (37 papers), Speech and Audio Processing (32 papers), Music and Audio Processing (28 papers), Natural Language Processing Techniques (11 papers), Advanced Data Compression Techniques (2 papers), Phonetics and Phonology Research (1 paper), Handwritten Text Recognition Techniques (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (1.0k citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (63 citations), Experimental and Cognitive Psychology (37 citations) and Developmental Biology (6 citations). Nicolas Scheffer has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Luciana Ferrer, Yun Lei, Mitchell McLaren, Lukáš Burget, Martin Graciarena, Jean-François Bonastre, Driss Matrouf, Benoît Fauve, Elizabeth Shriberg and Andreas Stolcke. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Audio Speech and Language Processing and NTCIR.
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.