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International Audio Laboratories Erlangen

Germany

13 papers here214 citations across 13
fields
  • eess.AS9
  • cs.SD2
  • cs.IR1
  • eess.SP1
ROR 02mkz3e80OpenAlex

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output
20192026
most citedObjective Measures of Perceptual Audio Quality Reviewed: An Evaluation of Their Application Domain Dependence

73 citations

researchers with a paper here
  • Meinard Müller3 profiles4 · h 49
  • J. Herre3 · h 37
  • Pablo M. Delgado3 · h 4
  • Jürgen Herre2 · h 3
  • Martin Strauss2 profiles2 · h 5
  • Yi-Hsuan Yang2 profiles2 · h 46
  • A. Arzt1 · h 17
  • A. Su1 · h 12
  • B. Edler1 · h 16
  • Ching-Yu Chiu1 · h 5
  • Emanuel A. P. Habets1 · h 2
  • Emanuël Habets1 · h 40
collaborating institutions
  • Fraunhofer Institute for Integrated CircuitsDE5 papers
  • Friedrich-Alexander-Universität Erlangen-NürnbergDE2 papers
  • Academia SinicaTW1 paper
  • Aston UniversityGB1 paper
  • Google (United States)US1 paper
  • Harvey Mudd CollegeUS1 paper
  • Ingegneria dei Sistemi (United Kingdom)GB1 paper
  • Johannes Kepler University of LinzAT1 paper
  • Laboratoire des Sciences du Numérique de NantesFR1 paper
  • London Rebuilding SocietyGB1 paper
  • Massachusetts Institute of TechnologyUS1 paper
  • Media Design SchoolNZ1 paper
Showing eess.SPShow all

1 paper · 1 filter

eess.SP2024

Model-Based Deep Learning for Music Information Research

Gael Richard, Vincent Lostanlen, Yi-Hsuan Yang +1

In this article, we investigate the notion of model-based deep learning in the realm of music information research (MIR). Loosely speaking, we refer to the term model-based deep le…

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