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Analysis of the meter of acoustic musical signals
TLDR
A probabilistic model which represents primitive musical knowledge and uses the low-level observations to perform joint estimation of the tatum, tactus, and measure pulses is described, which takes into account the temporal dependencies between successive estimates and enables both causal and noncausal analysis.
View on IEEE
Sound onset detection by applying psychoacoustic knowledge
  • A. Klapuri
  • Physics
    IEEE International Conference on Acoustics…
  • 15 March 1999
TLDR
A system was designed, which is able to detect the perceptual onsets of sounds in acoustic signals and utilizes band-wise processing and a psychoacoustic model of intensity coding to combine the results from the separate frequency bands.
View on IEEE
An experimental comparison of audio tempo induction algorithms
TLDR
One conclusion is that robust tempo induction entails the processing of frame features rather than that of onset lists, and a new "redundant" approach to tempo induction is proposed, inspired by knowledge of human perceptual mechanisms.
View on IEEE
Audio-based context recognition
TLDR
This paper investigates the feasibility of an audio-based context recognition system developed and compared to the accuracy of human listeners in the same task, with particular emphasis on the computational complexity of the methods.
View on IEEE
Multiple Fundamental Frequency Estimation by Summing Harmonic Amplitudes
TLDR
A conceptually simple and computationally efficient fundamental frequency (F0) estimator for polyphonic music signals and three different estimators are proposed: a “direct” method, an iterative estimation and cancellation method, and a method that estimates multiple F0s jointly.
Multiple fundamental frequency estimation based on harmonicity and spectral smoothness
  • A. Klapuri
  • Engineering
    IEEE Trans. Speech Audio Process.
  • 1 November 2003
TLDR
The spectral smoothness principle is proposed as an efficient new mechanism in estimating the spectral envelopes of detected sounds and works robustly in noise, and is able to handle sounds that exhibit inharmonicities.
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Automatic Transcription of Melody, Bass Line, and Chords in Polyphonic Music
TLDR
The method is computationally efficient and allows causal implementation, so it can process streaming audio, and may be used in music analysis, music information retrieval from large music databases, content-based audio processing, and interactive music systems.
View on MIT Press
Computational auditory scene recognition
TLDR
This paper addresses the problem of computational auditory scene recognition and describes methods to classify auditory scenes into predefined classes using band-energy ratio features with 1-NN classifier and Mel-frequency cepstral coefficients with Gaussian mixture models.
View on IEEE
Signal Processing Methods for Music Transcription
TLDR
This book serves as an ideal starting point for newcomers and an excellent reference source for people already working in the field and could be used as a textbook for advanced courses in music signal processing.
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Signal Processing for Music Analysis
TLDR
It is demonstrated that, to be successful, music audio signal processing techniques must be informed by a deep and thorough insight into the nature of music itself.
View on IEEE
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