0000000001338050

AUTHOR

Lartillot, Olivier

showing 4 related works from this author

Estimating Tempo and Metrical Features by Tracking the Whole Metrical Hierarchy

2013

Meter is known to play a paramount role in the aesthetic appreciation of music, yet computational modelling remains deficient compared to other dimensions of music analysis. Classical audio-based methods detect the temporal repartition of notes, leading to an onset detection curve that is further analysed, in a second step, for periodicity estimation. Current state of the art in onset detection, based on energy and spectral flux, cannot handle complex but common musical configurations such as dense orchestral textures. Our proposed im-provement of the flux method can detect new notes while ignoring spectral fluctuation produced by vibrato. Concerning periodicity estimation, we demonstrate t…

onset detectionmetrical analysisperiodicity estimation
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Exploring relationships between audio features and emotion in music

2009

In this paper, we present an analysis of the associations between emotion categories and audio features automatically extracted from raw audio data. This work is based on 110 excerpts from film soundtracks evaluated by 116 listeners. This data is annotated with 5 basic emotions (fear, anger, happiness, sadness, tenderness) on a 7 points scale. Exploiting state-of-the-art Music Information Retrieval (MIR) techniques, we extract audio features of different kind: timbral, rhythmic and tonal. Among others we also compute estimations of dissonance, mode, onset rate and loudness. We study statistical relations between audio descriptors and emotion categories confirming results from psychological …

machine learningclassificationaudioemotionmirmusic
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Computational music analysis: from audio transcription to structural and stylistic analyses, everything is tightly intertwined

2012

The aim of this research is to conceive a comprehensive computational model for automated music analysis where a large range of analytical and cognitive rules are combined and the interdependencies observed. Besides the purely scientific interest of a cognitive modeling, this should facilitate the development of tools for computer-aided musicology and interfaces for augmented music listening and discovery. On the structural level, beyond a strict vision based on hierarchical segmentation, a concept of prolongational syntagmatic network is introduced, characterized by general rules and culture-dependent modal specifications. This model explains the syntagmatic role of ornamentation and allow…

computer-aided musicologycognitive modelingautomated music analysis
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A Simple, High-Yield Method for Assessing Structural Novelity

2013

The structural dimension of music plays an important role in its affective appreciation. One particular aspect is related to the temporal succession of moments, each characterized by particular musical properties. One classical approach in computational modelling of this aspect is based on similarity matrix representations, where successive states are visualized by successive squares along the main diagonal, bearing some resemblance to checkerboards. One referential method estimates a so-called novelty curve, representing the probability along time of the presence of transitions between successive states, as well as their relative importance. Novelty is traditionally computed by comparing –…

novelitymusicstructuresimilarity matrixstructural dimension of music
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