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 33
- Natural Language Processing Techniques 11
- Speech and dialogue systems 4
- Hate Speech and Cyberbullying Detection 2
- Topic Modeling 2
-
- Speech and Audio Processing 25
- Music and Audio Processing 16
- Co-authors
- Kong Aik Lee (11 shared papers)Haizhou Li (10 shared papers)Bin Ma (8 shared papers)Massimiliano Todisco (1 shared paper)Hemlata Tak (1 shared paper)Andreas Nautsch (1 shared paper)Nicholas Evans (2 shared papers)José Patino (1 shared paper)
In The Last Decade
Anthony Larcher
35 papers receiving 999 citations
Anthony Larcher's Hit Papers
Peers
Comparison fields: 5 of 46
- Signal Processing 904
- Artificial Intelligence 844
- Computer Vision and Pattern Recognition 225
- Pharmacy 14
- Information Systems 72
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 38 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 | 218 |
| 2 | 2014 | 186 | |
| 3 | 2012 | 177 | |
| 4 | 2015 | 109 | |
| 5 | 2013 | 73 | |
| 6 | 2012 | 65 | |
| 7 | 2013 | 47 | |
| 8 | 2012 | 32 | |
| 9 | 2013 | 26 | |
| 10 | 2013 | 22 | |
| 11 | 2016 | 20 | |
| 12 | 2008 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2013 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2018 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2010 | 5 | |
| 20 | 2016 | 5 |
About Anthony Larcher
Anthony Larcher is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (33 papers), Speech and Audio Processing (25 papers), Music and Audio Processing (16 papers), Natural Language Processing Techniques (11 papers), Speech and dialogue systems (4 papers), Hate Speech and Cyberbullying Detection (2 papers), Topic Modeling (2 papers) and Context-Aware Activity Recognition Systems (1 paper). The work is most often cited by research in Signal Processing (904 citations), Artificial Intelligence (844 citations), Computer Vision and Pattern Recognition (225 citations), Pharmacy (14 citations) and Information Systems (72 citations). Anthony Larcher has collaborated with scholars based in France, Singapore and Finland. Frequent co-authors include Kong Aik Lee, Haizhou Li, Bin Ma, Massimiliano Todisco, Hemlata Tak, Andreas Nautsch, Nicholas Evans, José Patino, Jean-François Bonastre and Christophe Lévy. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Speech Communication, Computer Speech & Language, Applied Sciences and Digital Signal 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.