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MIDI2vec: Learning MIDI embeddings for reliable prediction of symbolic music metadata

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Toward principles for the design of ontologies used for knowledge sharing?

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DOREMUS: A Graph of Linked Musical Works

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Incorporating Literals into Knowledge Graph Embeddings

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The WASABI Dataset: Cultural, Lyrics and Audio Analysis Metadata About 2 Million Popular Commercially Released Songs

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Light-Weight Cross-Lingual Ontology Matching with LYAM++

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RDF2Vec: RDF Graph Embeddings for Data Mining

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AUFX-O: Novel Methods for the Representation of Audio Processing Workflows

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Neural Embeddings for Populated Geonames Locations

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The MIDI Linked Data Cloud

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Linked Data in Libraries’ Technical Services Workflows

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Evaluating the Replicability of Significance Tests for Comparing Learning Algorithms

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dbrec — Music Recommendations Using DBpedia

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Graph Theory

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Snorkel: rapid training data creation with weak supervision.

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Contextual music information retrieval and recommendation: State of the art and challenges

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A survey on symbolic data-based music genre classification

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entity2rec: Property-specific knowledge graph embeddings for item recommendation

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Graph embedding techniques, applications, and performance: A survey

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FOAFing the music: Bridging the semantic gap in music recommendation

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A circumplex model of affect.

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Representing Musical Genre: A State of the Art

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Distributional Structure

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Music Emotion Recognition with Standard and Melodic Audio Features

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An Overview of Semantic Web Activities in the OMRAS2 Project

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MusicBrainz: a semantic Web service

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MUSE Prototype for Music Sentiment Expression

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Music Ontology for Mood and Situation Reasoning to Support Music Retrieval and Recommendation

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Content-Based Music Information Retrieval: Current Directions and Future Challenges

inferredcites →https://doi.org/10.1109/tmm.2010.2098858openalex-snapshot

A Survey of Audio-Based Music Classification and Annotation

inferredcites →https://doi.org/10.1109/tmm.2014.2330697openalex-snapshot

A Simple Method to Determine if a Music Information Retrieval System is a “Horse”

inferredcites →https://doi.org/10.1145/1126004.1126005openalex-snapshot

Content-based multimedia information retrieval

inferredcites →https://doi.org/10.1145/2502081.2502229openalex-snapshot

ESSENTIA

inferredcites →https://doi.org/10.1145/2623330.2623732openalex-snapshot

DeepWalk

inferredcites →https://doi.org/10.1145/2939672.2939754openalex-snapshot

node2vec

inferredcites →https://doi.org/10.1145/3106426.3110325openalex-snapshot

MusicOWL

inferredcites →https://doi.org/10.1145/3148011.3148038openalex-snapshot

Ontology-Based Annotation of Music Scores

inferredcites →https://doi.org/10.1145/3243907.3243913openalex-snapshot

A Music Theory Ontology

inferredcites →https://doi.org/10.1145/3358664.3358666openalex-snapshot

Interweaving and Enriching Digital Music Collections for Scholarship, Performance, and Enjoyment

inferredcites →https://doi.org/10.1145/3375395.3387641openalex-snapshot

word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data

inferredcites →https://doi.org/10.1155/2007/36409openalex-snapshot

Music Genre Classification Using MIDI and Audio Features

inferredcites →https://doi.org/10.14778/3157794.3157797openalex-snapshot

Snorkel

inferredcites →https://doi.org/10.18653/v1/d17-1184openalex-snapshot

Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short

inferredcites →https://doi.org/10.2307/1416710openalex-snapshot

The Affective Character of the Major and Minor Modes in Music

inferredcites →https://doi.org/10.2307/3679836openalex-snapshot

Introduction to Cognitive Musicology

inferredcites →https://doi.org/10.24963/ijcai.2019/640openalex-snapshot

Node Embedding over Temporal Graphs

inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot

Glove: Global Vectors for Word Representation

inferredcites →https://doi.org/10.3233/ds-170007openalex-snapshot

The knowledge graph as the default data model for learning on heterogeneous knowledge

inferredcites →https://doi.org/10.3233/sw-180317openalex-snapshot

RDF2Vec: RDF graph embeddings and their applications

inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot

Efficient Estimation of Word Representations in Vector Space

inferredcites →https://doi.org/10.48550/arxiv.1605.07723openalex-snapshot

Data Programming: Creating Large Training Sets, Quickly

inferredcites →https://doi.org/10.48550/arxiv.1606.04930openalex-snapshot

Deep Learning for Music

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graph2vec: Learning Distributed Representations of Graphs

inferredcites →https://doi.org/10.48550/arxiv.1803.05428openalex-snapshot

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

inferredcites →https://doi.org/10.48550/arxiv.1806.04278openalex-snapshot

The NES Music Database: A multi-instrumental dataset with expressive performance attributes

inferredcites →https://doi.org/10.48550/arxiv.1808.05340openalex-snapshot

Genre-Agnostic Key Classification With Convolutional Neural Networks

inferredcites →https://doi.org/10.5281/zenodo.1414839openalex-snapshot

A Web Of Musical Information.

inferredcites →https://doi.org/10.5281/zenodo.1415016openalex-snapshot

Essentia: An Audio Analysis Library For Music Information Retrieval.

inferredcites →https://doi.org/10.5281/zenodo.1415705openalex-snapshot

Evaluating The Genre Classification Performance Of Lyrical Features Relative To Audio, Symbolic And Cultural Features.

inferredcites →https://doi.org/10.5281/zenodo.1415965openalex-snapshot

The Music Ontology.

inferredcites →https://doi.org/10.5281/zenodo.1416157openalex-snapshot

Automatic Genre Classification Using Large High-Level Musical Feature Sets.

inferredcites →https://doi.org/10.5281/zenodo.1416225openalex-snapshot

An Ontology For Audio Features.

inferredcites →https://doi.org/10.5281/zenodo.1416287openalex-snapshot

Feature Extraction And Machine Learning On Symbolic Music Using The Music21 Toolkit.

inferredcites →https://doi.org/10.5281/zenodo.1418233openalex-snapshot

Extracting Ground-Truth Information From Midi Files: A Midifesto.

inferredcites →https://doi.org/10.5281/zenodo.1492382openalex-snapshot

Part-invariant Model for Music Generation and Harmonization

inferredcites →https://doi.org/10.5281/zenodo.1492420openalex-snapshot

JSYMBOLIC 2.2: Extracting Features from Symbolic Music for use in Musicological and MIR Research

inferredcites →https://doi.org/10.5281/zenodo.1492440openalex-snapshot

Controlled Vocabularies for Music Metadata

inferredcites →https://doi.org/10.5281/zenodo.1492480openalex-snapshot

Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning

inferredcites →https://doi.org/10.5281/zenodo.3249394openalex-snapshot

Learning to Generate Music with BachProp

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An introduction to variable and feature selection

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The classical style: Haydn, Mozart, Beethoven

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Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Predicting Music Using Machine Learning

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SymforNet: application of cross-modal information correspondences based on self-supervision in symbolic music generation

inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200292openalex-snapshot

Quantitative analysis of MIDI sequence editors for electronic music production

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Development Status, Frontier Hotspots, and Technical Evaluations in the Field of AI Music Composition Since the 21st Century: A Systematic Review

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The Usage of Artificial Intelligence Technology in Music Education System Under Deep Learning

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Challenges and Perspectives in Interpretable Music Auto-Tagging Using Perceptual Features

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Multi-Level Representation of Long MIDI Sequences: Integrating Bar-Level Encoding with Music-Level Context

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PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing

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Perceptual Musical Features for Interpretable Audio Tagging

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Integration of Music Database System based on Big Data and Mobile Internet Technology

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Melody Extraction from MIDI Files Using AI-ML Techniques

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Inspecting Deep Learning Techniques for Music Transcription

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Encoding Music Score Data for Emotional Expression Prediction in Western Classical Music Pieces

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Multidimensional Detection of Musical Similarity and Plagiarism in MultiTrack MIDI Files Using Clustering and Dynamic Programming

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Diagnosing Ensemble Context: Co-occurrence Bias and Local Ambiguity in Symbolic Instrument Classification

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Feature Extraction and Style Transfer of Shandong Traditional Folk Music Based on Deep Learning: A Study on the Application of AI in Music Education

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Music sequence generation and arrangement based on transformer model

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Editorial of the Special Issue on Deep Learning and Knowledge Graphs

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A Digitally Enhanced Ethnography for Craft Action and Process Understanding

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A Roadmap for Craft Understanding, Education, Training, and Preservation

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Style-Based Composer Identification and Attribution of Symbolic Music Scores: A Systematic Survey

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Pengembangan Sistem Generator MIDI Berbasis Web Menggunakan Arsitektur RWKV

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Beyond Recommendations: Intrinsic Evaluation Strategies for Item Embeddings in Recommender Systems

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Why Ignore Content? A Guideline for Intrinsic Evaluation of Item Embeddings for Collaborative Filtering

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A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks

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