[HTML][HTML] Audio-based music structure analysis: Current trends, open challenges, and applications
With recent advances in the field of music informatics, approaches to audio-based music
structural analysis have matured considerably, allowing researchers to reassess the …
structural analysis have matured considerably, allowing researchers to reassess the …
A brief introduction to nonlinear time series analysis and recurrence plots
B Goswami - Vibration, 2019 - mdpi.com
Nonlinear time series analysis gained prominence from the late 1980s on, primarily because
of its ability to characterize, analyze, and predict nontrivial features in data sets that stem …
of its ability to characterize, analyze, and predict nontrivial features in data sets that stem …
Interpersonal entrainment in music performance: theory, method, and model
Interpersonal musical entrainment—temporal synchronization and coordination between
individuals in musical contexts—is a ubiquitous phenomenon related to music's social …
individuals in musical contexts—is a ubiquitous phenomenon related to music's social …
Improvisation and the self-organization of multiple musical bodies
AE Walton, MJ Richardson… - Frontiers in …, 2015 - frontiersin.org
Understanding everyday behavior relies heavily upon understanding our ability to
improvise, how we are able to continuously anticipate and adapt in order to coordinate with …
improvise, how we are able to continuously anticipate and adapt in order to coordinate with …
Audio cover song identification and similarity: background, approaches, evaluation, and beyond
A cover version is an alternative rendition of a previously recorded song. Given that a cover
may differ from the original song in timbre, tempo, structure, key, arrangement, or language …
may differ from the original song in timbre, tempo, structure, key, arrangement, or language …
A survey on semi-supervised learning for delayed partially labelled data streams
Unlabelled data appear in many domains and are particularly relevant to streaming
applications, where even though data is abundant, labelled data is rare. To address the …
applications, where even though data is abundant, labelled data is rare. To address the …
Unsupervised music structure annotation by time series structure features and segment similarity
Automatically inferring the structural properties of raw multimedia documents is essential in
today's digitized society. Given its hierarchical and multi-faceted organization, musical …
today's digitized society. Given its hierarchical and multi-faceted organization, musical …
Tonal representations for music retrieval: from version identification to query-by-humming
In this study we compare the use of different music representations for retrieving alternative
performances of the same musical piece, a task commonly referred to as version …
performances of the same musical piece, a task commonly referred to as version …
Bytecover2: Towards dimensionality reduction of latent embedding for efficient cover song identification
Convolutional neural network (CNN)-based methods have dominated the recent research of
cover song identification (CSI). A typical example is the ByteCover system we proposed …
cover song identification (CSI). A typical example is the ByteCover system we proposed …
Accurate and scalable version identification using musically-motivated embeddings
The version identification (VI) task deals with the automatic detection of recordings that
correspond to the same underlying musical piece. Despite many efforts, VI is still an open …
correspond to the same underlying musical piece. Despite many efforts, VI is still an open …