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Anssi Klapuri

Anssi Klapuri

D-Index & Metrics

Computer Science

D-Index
44
Citations
10516
World Ranking
7454
National Ranking
53

Overview

Anssi Klapuri is affiliated with Yousician in Finland and has contributed to research primarily in the field of Computer Science. Their work focuses notably on Signal Processing, Computer Vision and Pattern Recognition, as well as aspects of Music.

Their research covers multiple topics including:

  • Music and Audio Processing
  • Music Technology and Sound Studies
  • Speech and Audio Processing
  • Diverse Musicological Studies

Klapuri has authored publications in notable venues, with a concentration in:

  • arXiv (Cornell University)

Recent papers authored by Klapuri include:

  • FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature Transcription (2022), published in arXiv (Cornell University)
  • Transcribing Rhythmic Patterns of the Guitar Track in Polyphonic Music (2025), published in arXiv (Cornell University)

Frequent co-authors collaborating with Klapuri are:

  • Frank Cwitkowitz
  • Toni Hirvonen
  • Aleksandr Lukoianov

The combination of Klapuri's work demonstrates a consistent focus on analyzing and processing musical audio data, highlighting technical approaches to transcription and pattern recognition within polyphonic music contexts.

Best Publications

  • Signal Processing Methods for Music Transcription

    Anssi Klapuri;Manuel Davy

  • Audio-based context recognition

    A.J. Eronen;V.T. Peltonen;J.T. Tuomi;A.P. Klapuri

  • Sound onset detection by applying psychoacoustic knowledge

    A. Klapuri

  • Analysis of the meter of acoustic musical signals

    A.P. Klapuri;A.J. Eronen;J.T. Astola

  • Multiple fundamental frequency estimation based on harmonicity and spectral smoothness

    A.P. Klapuri

  • Automatic music transcription: challenges and future directions

    Emmanouil Benetos;Simon Dixon;Dimitrios Giannoulis;Holger Kirchhoff

  • Musical instrument recognition using cepstral coefficients and temporal features

    A. Eronen;A. Klapuri

  • Signal Processing for Music Analysis

    M. Muller;D. P. W. Ellis;A. Klapuri;G. Richard

  • An experimental comparison of audio tempo induction algorithms

    F. Gouyon;A. Klapuri;S. Dixon;M. Alonso

  • Computational auditory scene recognition

    Vesa Peltonen;Juha Tuomi;Anssi Klapuri;Jyri Huopaniemi

  • State of the Art Report: Audio-Based Music Structure Analysis.

    Jouni Paulus;Meinard Müller;Anssi Klapuri

  • Multiple Fundamental Frequency Estimation by Summing Harmonic Amplitudes

    Anssi Klapuri

  • Automatic transcription of melody, bass line, and chords in polyphonic music

    Matti P. Ryynänen;Anssi P. Klapuri

  • Multipitch Analysis of Polyphonic Music and Speech Signals Using an Auditory Model

    A. Klapuri

  • Signal Processing Methods for the Automatic Transcription of Music

    Anssi Klapuri

  • Automatic Music Transcription as We Know it Today

    Anssi P. Klapuri

  • Polyphonic music transcription using note event modeling

    M.P. Ryynanen;A. Klapuri

  • Audio-based Music Structure Analysis

    Jouni Paulus;Meinard Müller;Anssi Klapuri

  • AUTOMATIC TRANSCRIPTION OF MUSIC

    Anssi P. Klapuri

  • Measuring the similarity of Rhythmic Patterns.

    Jouni Paulus;Anssi Klapuri

Frequent Co-Authors

Tuomas Virtanen
Tuomas Virtanen Tampere University
Simon Dixon
Simon Dixon Queen Mary University of London
Mark D. Plumbley
Mark D. Plumbley King's College London
Antti Eronen
Antti Eronen Nokia (Finland)
Meinard Müller
Meinard Müller University of Erlangen-Nuremberg
Daniel P. W. Ellis
Daniel P. W. Ellis Google (United States)
Gael Richard
Gael Richard Télécom ParisTech
Jaakko Astola
Jaakko Astola Tampere University
Mark Sandler
Mark Sandler Google (United States)
George Tzanetakis
George Tzanetakis University of Victoria

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