Nicolas Scheffer

2.0k citations
43 papers · 1.4k · 1 hit paper · h-index 19

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Speech Recognition and Synthesis
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech and dialogue systems

Papers in

Nicolas Scheffer

43 papers receiving 1.2k citations

Nicolas Scheffer's Hit Papers

A novel scheme for speaker recognition using a phonetically-aware deep neural network 2014 · 384 citations
3840+4+8Years since publication100200300

Peers

Nicolas Scheffer
Comparison fields: 5 of 51
  • Signal Processing 1.2k
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 86
  • Experimental and Cognitive Psychology 46
  • Developmental Biology 6
Replace Jenthe Thienpondt with:
Jenthe Thienpondt Belgium
Oldřich Plchot Czechia
Jan Trmal United States
Gilles Boulianne Canada
Jason W. Pelecanos United States
Ariya Rastrow United States
V. Gupta Canada
Kishore Prahallad India
J. McDonough Germany
Hainan Xu United States
Nicolas Scheffer relative to Jenthe Thienpondt Belgium Jenthe Thienpondt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas Scheffer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nicolas Scheffer Line = papers co-authored together Nicolas Scheffer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 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 →
2014384
2 200796
3
ALIZE/SpkDet: a state-of-the-art open source software for speaker recognition
200880
4 201275
5 200763
6 201561
7 201359
8 201456
9 201442
10 201340
11 201335
12 200934
13 201229
14 201328
15 201128
16 201027
17 201125
18
A unified approach for audio characterization and its application to speaker recognition.
201223
19 201322
20 201418

About Nicolas Scheffer

Nicolas Scheffer is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Insect Science, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (41 papers), Speech and Audio Processing (35 papers), Music and Audio Processing (30 papers), Natural Language Processing Techniques (13 papers), Advanced Data Compression Techniques (2 papers), Handwritten Text Recognition Techniques (1 paper), Phonetics and Phonology Research (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (1.2k citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (86 citations), Experimental and Cognitive Psychology (46 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, Jean-François Bonastre, Lukáš Burget, Martin Graciarena, Benoît Fauve, Driss Matrouf, Elizabeth E. Shriberg and John S. D. Mason. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing, NTCIR, QUT ePrints (Queensland University of Technology) and HAL (Le Centre pour la Communication Scientifique Directe).

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.

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