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Analysis of the meter of acoustic musical signals
A method is described which analyzes the basic pattern of beats in a piece of music, the musical meter. Expand
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Audio-based context recognition
The aim of this paper is to investigate the feasibility of an audio-based context recognition system. Expand
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Musical instrument recognition using cepstral coefficients and temporal features
A system for musical instrument recognition was presented that uses a wide set of features covering both spectral and temporal properties of sounds was investigated, and their extraction algorithms were designed. Expand
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Comparison of features for musical instrument recognition
  • A. Eronen
  • Engineering
  • Proceedings of the IEEE Workshop on the…
  • 21 October 2001
Several features were compared with regard to recognition performance in a musical instrument recognition system. Expand
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Context-dependent sound event detection
We propose a new method for automatic sound event detection using context-dependent acoustic models and count-based event priors. Expand
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Acoustic event detection in real life recordings
This paper presents a system for acoustic event detection in recordings from real life environments. Expand
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Automatic musical instrument recognition
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Musical instrument recognition using ICA-based transform of features and discriminatively trained HMMs
  • A. Eronen
  • Computer Science
  • Seventh International Symposium on Signal…
  • 1 July 2003
We first describe a baseline system that uses mel-frequency cepstral coefficients and their first derivatives as features, and continuous-density hidden Markov models (HMMs) to model the feature distributions. Expand
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Music Tempo Estimation With $k$-NN Regression
  • A. Eronen, A. Klapuri
  • Mathematics, Computer Science
  • IEEE Transactions on Audio, Speech, and Language…
  • 2010
An approach for tempo estimation from musical pieces with near-constant tempo is proposed. Expand
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Sound Event Detection in Multisource Environments Using Source Separation
This paper proposes a sound event detection system for natural multisource environments, using a sound source separation front-end. The recognizer aims at detecting sound events from various everydayExpand
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