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The Timbre Toolbox: extracting audio descriptors from musical signals.
- G. Peeters, Bruno L. Giordano, P. Susini, N. Misdariis, S. McAdams
- Computer ScienceThe Journal of the Acoustical Society of America
- 16 November 2011
This analysis suggests ten classes of relatively independent audio descriptors, showing that the Timbre Toolbox is a multidimensional instrument for the measurement of the acoustical structure of complex sound signals.
Joint Estimation of Chords and Downbeats From an Audio Signal
The results show that the downbeat positions of a music piece can be estimated in terms of its harmonic structure and that conversely the chord progression estimation benefits from considering the interaction between the metric and the harmonic structures.
Chroma-based estimation of musical key from audio-signal analysis
- G. Peeters
- Computer ScienceISMIR
- 1 October 2006
This paper proposes the use of a Harmonic Peak Subtraction algorithm as a front-end of the system and evaluates the performance of an approach based on hidden Markov models in an evaluation using a database of 302 baroque, classical and romantic music tracks.
Template-Based Estimation of Time-Varying Tempo
- G. Peeters
- Computer ScienceEURASIP J. Adv. Signal Process.
A novel approach to automatic estimation of tempo over time based on a proposed reassigned spectral energy flux for the detection of musical events and a proposed combination of discrete Fourier transform and frequency-mapped autocorrelation function is presented.
Spectral and Temporal Periodicity Representations of Rhythm for the Automatic Classification of Music Audio Signal
- G. Peeters
- Computer ScienceIEEE Transactions on Audio, Speech, and Language…
- 1 July 2011
This paper test the use of the periodicity representations alone, combined with tempo information and combined with a proposed set of rhythm features to achieve high recognition rates at least comparable to previously published results.
Toward Automatic Music Audio Summary Generation from Signal Analysis
This paper deals with the automatic generation of music audio summaries from signal analysis without the use of any other information by considering the audio signal as a succession of “states” corresponding to the structure of a piece of music.
MuBu and Friends - Assembling Tools for Content Based Real-Time Interactive Audio Processing in Max/MSP
A set of components that support a variety of different interactive real-time audio processing approaches such as beatshuffling, sound morphing, and audio musaicing are presented.
Large-Scale Study of Chord Estimation Algorithms Based on Chroma Representation and HMM
This paper deals with the automatic estimation of chord progression over time of an audio file by taking into account music theory, perception of key and presence of higher harmonics of pitch notes.
DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm
DALI is introduced, a large and rich multimodal dataset containing 5358 audio tracks with their time-aligned vocal melody notes and lyrics at four levels of granularity and it is shown that this allows to progressively improve the performances of the SVD and get better audio-matching and alignment.