Anthony Larcher
Impact in
- Signal Processing top 0.5%
- Speech and Audio Processing
- Music and Audio Processing
- Biometric Identification and Security
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
Papers in
-
- Speech Recognition and Synthesis 31
- Natural Language Processing Techniques 10
- Speech and dialogue systems 4
- Topic Modeling 2
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- Speech and Audio Processing 24
- Music and Audio Processing 15
- Time Series Analysis and Forecasting 1
- Co-authors
- Kong Aik Lee (11 shared papers)Haizhou Li (10 shared papers)Bin Ma (8 shared papers)José Patino (1 shared paper)Hemlata Tak (1 shared paper)Massimiliano Todisco (1 shared paper)Andreas Nautsch (1 shared paper)Nicholas Evans (2 shared papers)
In The Last Decade
Anthony Larcher
32 papers receiving 888 citations
Anthony Larcher's Hit Papers
Peers
Comparison fields: 5 of 44
- Signal Processing 825
- Artificial Intelligence 776
- Computer Vision and Pattern Recognition 195
- Information Systems 60
- Pharmacy 9
Countries citing papers authored by Anthony Larcher
This map shows the geographic impact of Anthony Larcher'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 Anthony Larcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Larcher more than expected).
Fields of papers citing papers by Anthony Larcher
This network shows the impact of papers produced by Anthony Larcher. 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 Anthony Larcher. The network helps show where Anthony Larcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Larcher, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | End-to-End anti-spoofing with RawNet2 Hit paper breakdown → | 2021 | 191 |
| 2 | 2014 | 178 | |
| 3 | 2012 | 147 | |
| 4 | 2015 | 99 | |
| 5 | 2013 | 68 | |
| 6 | 2012 | 59 | |
| 7 | 2013 | 46 | |
| 8 | 2012 | 29 | |
| 9 | 2013 | 22 | |
| 10 | 2013 | 22 | |
| 11 | 2016 | 17 | |
| 12 | 2008 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2013 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2010 | 4 | |
| 20 | 2014 | 3 |
About Anthony Larcher
Anthony Larcher is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computational Mechanics and Pharmacy, having authored 34 papers that have together received 967 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (24 papers), Music and Audio Processing (15 papers), Natural Language Processing Techniques (10 papers), Speech and dialogue systems (4 papers), Topic Modeling (2 papers), Advanced Adaptive Filtering Techniques (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Signal Processing (825 citations), Artificial Intelligence (776 citations), Computer Vision and Pattern Recognition (195 citations), Information Systems (60 citations) and Pharmacy (9 citations). Anthony Larcher has collaborated with scholars based in France, Singapore and Finland. Frequent co-authors include Kong Aik Lee, Haizhou Li, Bin Ma, José Patino, Hemlata Tak, Massimiliano Todisco, Andreas Nautsch, Nicholas Evans, Jean-François Bonastre and Christophe Lévy. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Digital Signal Processing, Speech Communication, Applied Sciences and Computer Speech & Language.
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.