Efficient unsupervised temporal segmentation of motion data

B Krüger, A Vögele, T Willig, A Yao… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
We introduce a method for automated temporal segmentation of human motion data into
distinct actions and compositing motion primitives based on self-similar structures in the …

[PDF][PDF] Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology.

S Rosenzweig, F Scherbaum… - Trans. Int. Soc …, 2020 - pdfs.semanticscholar.org
The analysis of recorded audio material using computational methods has received
increased attention in ethnomusicological research. We present a curated dataset of …

Analyzing chroma feature types for automated chord recognition

N Jiang, P Grosche, V Konz, M Müller - Audio Engineering Society …, 2011 - aes.org
The computer-based harmonic analysis of music recordings with the goal to automatically
extract chord labels directly from the given audio data constitutes a major task in music …

Melody extraction from polyphonic music signals

JJ Salamon - 2013 - tdx.cat
Music was the first mass-market industry to be completely restructured by digital technology,
and today we can have access to thousands of tracks stored locally on our smartphone and …

A robust fitness measure for capturing repetitions in music recordings with applications to audio thumbnailing

M Muller, N Jiang, P Grosche - IEEE Transactions on audio …, 2012 - ieeexplore.ieee.org
The automatic extraction of structural information from music recordings constitutes a central
research topic. In this paper, we deal with a subproblem of audio structure analysis called …

Artificial musical intelligence: A survey

E Liebman, P Stone - arXiv preprint arXiv:2006.10553, 2020 - arxiv.org
Computers have been used to analyze and create music since they were first introduced in
the 1950s and 1960s. Beginning in the late 1990s, the rise of the Internet and large scale …

[PDF][PDF] A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings.

M Müller, P Grosche, N Jiang - ISMIR, 2011 - researchgate.net
In this paper, we deal with the task of determining the audio segment that best represents a
given music recording (similar to audio thumbnailing). Typically, such a segment has many …

Retrieving audio recordings using musical themes

S Balke, V Arifi-Müller, L Lamprecht… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
In 1948, Barlow and Morgenstern released a collection of about 10,000 themes of well-
known instrumental pieces from the corpus of Western Classical music [1]. These …

Automated analysis of performance variations in folk song recordings

M Müller, P Grosche, F Wiering - Proceedings of the international …, 2010 - dl.acm.org
Performance analysis of recorded music material has become increasingly important in
musicological research and music psychology. In this paper, we present various techniques …

Discovery of repeated melodic phrases in folk singing recordings

N Kroher, A Pikrakis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In music, repetition is a fundamental concept to establish structure and create temporal
relationships. Previous approaches to detecting repetition in music recordings have mainly …