Jean-Julien Aucouturier
Computer Vision and Pattern Recognition · 2002–2004
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it; #5,073 of 21,575 by trust here, #12,689 by citations
- Signal Processing — 10 citations into it; #1,023 of 7,572 by trust here, #3,309 by citations
Whom Jean-Julien Aucouturier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Beth T. Logan
- Lawrence R. Rabiner
- Robert E. Schapire
- Iroon Polytechniou
- François Pachet
- George Tzanetakis
- Anssi Klapuri
- Adam Berenzweig
- Antti J. Eronen
- Ariel Salomon
Who trusts Jean-Julien Aucouturier overall
- Kai Ni
- Zhouyu Fu
- Nicolas Scaringella
- François Pachet
- Michael I. Mandel
- Bob L. Sturm
- James Bergstra
- Noam Koenigstein
- Gino Cattani
- D. Ellis
Papers from Jean-Julien Aucouturier's perspective
Ordered by how strongly the researchers Jean-Julien Aucouturier trusts endorse each paper. Same corpus, a different order for every researcher.
- Fundamentals of speech recognition
- Mel Frequency Cepstral Coefficients for Music Modeling (International Society for Music Information Retrieval Conference)
- A music similarity function based on signal analysis (IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.)
- A tutorial on hidden Markov models and selected applications in speech recognition
- Neural Networks for Pattern Recognition
- Automatic Musical Genre Classification of Audio Signals (International Society for Music Information Retrieval Conference)
- Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
- Factors in automatic musical genre classification of audio signals (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics)
- A Large-Scale Evaluation of Acoustic and Subjective Music-Similarity Measures (Computer Music Journal)
- A Brief Introduction to Boosting
Their papers
- Music Similarity Measures: What's the use? (2002) — 332 citations
- Representing Musical Genre: A State of the Art (2003) — 418 citations
- Improving Timbre Similarity : How high’s the sky ? (2004) — 425 citations