A survey of audio-based music classification and annotation
Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …
attention from both the research community and music industry. It addresses the problem of …
Music information retrieval: Recent developments and applications
We provide a survey of the field of Music Information Retrieval (MIR), in particular paying
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
attention to latest developments, such as semantic auto-tagging and user-centric retrieval …
FMA: A dataset for music analysis
We introduce the Free Music Archive (FMA), an open and easily accessible dataset suitable
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …
for evaluating several tasks in MIR, a field concerned with browsing, searching, and …
[KSIĄŻKA][B] Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching
C Raffel - 2016 - search.proquest.com
Sequences of feature vectors are a natural way of representing temporal data. Given a
database of sequences, a fundamental task is to find the database entry which is the most …
database of sequences, a fundamental task is to find the database entry which is the most …
Music recommendation
O Celma - Music recommendation and discovery: The long tail …, 2010 - Springer
This chapter focuses on the recommendation problem in the music domain. Section 3.1
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …
presents some common use cases in music recommendation. After that, Sect. 3.2, discusses …
[KSIĄŻKA][B] Embodied music cognition and mediation technology
M Leman - 2007 - books.google.com
A proposal that an embodied cognition approach to music research—drawing on work in
computer science, psychology, brain science, and musicology—offers a promising …
computer science, psychology, brain science, and musicology—offers a promising …
[KSIĄŻKA][B] An introduction to audio content analysis: Music Information Retrieval tasks and applications
A Lerch - 2022 - books.google.com
An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …
Choco: a chord corpus and a data transformation workflow for musical harmony knowledge graphs
Various disconnected chord datasets are currently available for music analysis and
information retrieval, but they are often limited by either their size, non-openness, lack of …
information retrieval, but they are often limited by either their size, non-openness, lack of …
Hawkes processes for events in social media
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
Semantic annotation and retrieval of music and sound effects
We present a computer audition system that can both annotate novel audio tracks with
semantically meaningful words and retrieve relevant tracks from a database of unlabeled …
semantically meaningful words and retrieve relevant tracks from a database of unlabeled …