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Prediction of the Distribution of Perceived Music Emotions Using Discrete Samples

https://doi.org/10.1109/tasl.2011.2118752

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What this work says

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

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Graphviz— Open Source Graph Drawing Tools

inferredcites →https://doi.org/10.1007/978-1-4471-0347-9_3openalex-snapshot

Pattern Classification

inferredcites →https://doi.org/10.1007/978-3-540-89796-5_8openalex-snapshot

Toward Multi-modal Music Emotion Classification

inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot

Support-Vector Networks

inferredcites →https://doi.org/10.1016/0191-8869(90)90284-xopenalex-snapshot

The biopsychology of mood and arousal

inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot

Convex Optimization

inferredcites →https://doi.org/10.1023/a:1026543900054openalex-snapshot

The Earth Mover's Distance as a Metric for Image Retrieval

inferredcites →https://doi.org/10.1037//0096-1523.26.6.1797openalex-snapshot

Cue utilization in communication of emotion in music performance: Relating performance to perception.

inferredcites →https://doi.org/10.1037/e526112012-054openalex-snapshot

Affective Computing

inferredcites →https://doi.org/10.1037/h0054832openalex-snapshot

Expression in music: a discussion of experimental studies and theories.

inferredcites →https://doi.org/10.1037/h0077714openalex-snapshot

A circumplex model of affect.

inferredcites →https://doi.org/10.1080/00401706.1969.10490657openalex-snapshot

Procedures for Detecting Outlying Observations in Samples

inferredcites →https://doi.org/10.1080/00401706.1999.10485690openalex-snapshot

Engineering Statistics

inferredcites →https://doi.org/10.1080/02699939208411068openalex-snapshot

An argument for basic emotions

inferredcites →https://doi.org/10.1080/0929821042000317813openalex-snapshot

Expression, Perception, and Induction of Musical Emotions: A Review and a Questionnaire Study of Everyday Listening

inferredcites →https://doi.org/10.1080/09298210801927846openalex-snapshot

Automatic Emotion Prediction of Song Excerpts: Index Construction, Algorithm Design, and Empirical Comparison

inferredcites →https://doi.org/10.1080/09298210903430475openalex-snapshot

‘Mister D.J., Cheer Me Up!’:Musical and Textual Features for Automatic Mood Classification

inferredcites →https://doi.org/10.1080/09298215.2010.513733openalex-snapshot

Automated Music Emotion Recognition: A Systematic Evaluation

inferredcites →https://doi.org/10.1093/oso/9780192631886.001.0001openalex-snapshot

Music And Emotion

inferredcites →https://doi.org/10.1093/oso/9780192631886.003.0010openalex-snapshot

The Influence Of Musical Structure On Emotional Expression

inferredcites →https://doi.org/10.1093/oso/9780198523963.001.0001openalex-snapshot

Applied Smoothing Techniques for Data Analysis

inferredcites →https://doi.org/10.1093/oxfordhb/9780199298457.001.0001openalex-snapshot

Oxford Handbook of Music Psychology

inferredcites →https://doi.org/10.1109/34.667881openalex-snapshot

On combining classifiers

inferredcites →https://doi.org/10.1109/89.876309openalex-snapshot

A computationally efficient multipitch analysis model

inferredcites →https://doi.org/10.1109/icme.2008.4607732openalex-snapshot

Automatic chord recognition for music classification and retrieval

inferredcites →https://doi.org/10.1109/icme.2009.5202572openalex-snapshot

Exploiting genre for music emotion classification

inferredcites →https://doi.org/10.1109/icosp.2004.1441576openalex-snapshot

User-adaptive music emotion recognition

inferredcites →https://doi.org/10.1109/icpr.1988.28447openalex-snapshot

Sentiment extraction in music

inferredcites →https://doi.org/10.1109/simsym.1992.227580openalex-snapshot

A comparative study of load sharing in heterogeneous multicomputer systems

inferredcites →https://doi.org/10.1109/t-affc.2010.1openalex-snapshot

Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

inferredcites →https://doi.org/10.1109/tasl.2007.899293openalex-snapshot

Temporal Feature Integration for Music Genre Classification

inferredcites →https://doi.org/10.1109/tasl.2007.911513openalex-snapshot

A Regression Approach to Music Emotion Recognition

inferredcites →https://doi.org/10.1109/tasl.2010.2064164openalex-snapshot

Ranking-Based Emotion Recognition for Music Organization and Retrieval

inferredcites →https://doi.org/10.1109/tmm.2004.840618openalex-snapshot

Affective video content representation and modeling

inferredcites →https://doi.org/10.1109/tpami.2008.224openalex-snapshot

Optimal Classifier Fusion in a Non-Bayesian Probabilistic Framework

inferredcites →https://doi.org/10.1109/tsa.2002.800560openalex-snapshot

Musical genre classification of audio signals

inferredcites →https://doi.org/10.1109/tsa.2005.860344openalex-snapshot

Automatic mood detection and tracking of music audio signals

inferredcites →https://doi.org/10.1109/tsmcb.2005.862491openalex-snapshot

Modeling emotional content of music using system identification

inferredcites →https://doi.org/10.1111/1467-8721.00165openalex-snapshot

Music: A Link Between Cognition and Emotion

inferredcites →https://doi.org/10.1145/1141911.1141920openalex-snapshot

Image deformation using moving least squares

inferredcites →https://doi.org/10.1145/1178723.1178727openalex-snapshot

Detecting harmonic change in musical audio

inferredcites →https://doi.org/10.1145/1180639.1180665openalex-snapshot

Music emotion classification

inferredcites →https://doi.org/10.1145/1290128.1290132openalex-snapshot

Music Emotion Recognition

inferredcites →https://doi.org/10.1145/1459359.1459550openalex-snapshot

Mr. Emo

inferredcites →https://doi.org/10.1145/1571941.1572109openalex-snapshot

Personalized music emotion recognition

inferredcites →https://doi.org/10.1145/1743384.1743431openalex-snapshot

Feature selection for content-based, time-varying musical emotion regression

inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot

LIBSVM

inferredcites →https://doi.org/10.1145/2168752.2168754openalex-snapshot

Machine Recognition of Music Emotion

inferredcites →https://doi.org/10.1145/312624.312649openalex-snapshot

Probabilistic latent semantic indexing

inferredcites →https://doi.org/10.1145/3130348.3130370openalex-snapshot

Probabilistic Latent Semantic Indexing

inferredcites →https://doi.org/10.1145/505282.505283openalex-snapshot

Machine learning in automated text categorization

inferredcites →https://doi.org/10.1155/2010/735854openalex-snapshot

Determination of Nonprototypical Valence and Arousal in Popular Music: Features and Performances

inferredcites →https://doi.org/10.1162/089976600300015565openalex-snapshot

New Support Vector Algorithms

inferredcites →https://doi.org/10.1177/0305735606067168openalex-snapshot

Songs and emotions: are lyrics and melodies equal partners?

inferredcites →https://doi.org/10.1177/0305735607068890openalex-snapshot

Beyond valence and activity in the emotional connotations of music

inferredcites →https://doi.org/10.1177/10298649020050s105openalex-snapshot

Emotion perceived and emotion felt: Same or different?

inferredcites →https://doi.org/10.1214/10-aos799openalex-snapshot

Kernel density estimation via diffusion

inferredcites →https://doi.org/10.2190/nbny-akdk-gw58-mtelopenalex-snapshot

Can Composers Express Emotions through Music?

inferredcites →https://doi.org/10.2307/1269427openalex-snapshot

Regression Analysis: Theory, Methods, and Applications

inferredcites →https://doi.org/10.2307/1270572openalex-snapshot

Applied Smoothing Techniques for Data Analysis

inferredcites →https://doi.org/10.2307/2290429openalex-snapshot

Regression Analysis: Theory, Methods, and, Applications.

inferredcites →https://doi.org/10.2307/427625openalex-snapshot

Emotion and Meaning in Music

inferredcites →https://doi.org/10.5281/zenodo.1414899openalex-snapshot

Multi-Label Classification Of Music Into Emotions.

inferredcites →https://doi.org/10.5281/zenodo.1415540openalex-snapshot

When Lyrics Outperform Audio For Music Mood Classification: A Feature Analysis.

inferredcites →https://doi.org/10.5281/zenodo.1415599openalex-snapshot

Music Mood Representations From Social Tags.

inferredcites →https://doi.org/10.5281/zenodo.1416237openalex-snapshot

Prediction Of Time-Varying Musical Mood Distributions From Audio.

inferredcites →https://doi.org/10.5281/zenodo.1416729openalex-snapshot

Prediction Of Multidimensional Emotional Ratings In Music From Audio Using Multivariate Regression Models.

inferredcites →https://doi.org/10.5281/zenodo.1416855openalex-snapshot

Evaluation Of Feature Extractors And Psycho-Acoustic Transformations For Music Genre Classification.

inferredcites →https://doi.org/10.5281/zenodo.1417084openalex-snapshot

Boosting For Multi-Modal Music Emotion Classification.

inferredcites →https://doi.org/10.5281/zenodo.1417144openalex-snapshot

Mir In Matlab (Ii): A Toolbox For Musical Feature Extraction From Audio.

inferredcites →https://doi.org/10.5281/zenodo.1417286openalex-snapshot

Automatic Mood Classification Using Tf*Idf Based On Lyrics.

inferredcites →https://doi.org/10.5281/zenodo.1417852openalex-snapshot

Content-Based Identification Of Audio Material Using Mpeg-7 Low Level Description.

inferredcites →https://doi.org/10.5281/zenodo.1418076openalex-snapshot

A Matlab Toolbox To Compute Music Similarity From Audio.

inferredcites →https://doi.org/10.5281/zenodo.849460openalex-snapshot

Large Scale Musical Instrument Identification

inferredcites →https://doi.org/10.5555/306902.306921openalex-snapshot

A comparative study of load sharing in heterogeneous multicomputer systems

inferredcites →https://doi.org/10.5860/choice.28-1830openalex-snapshot

The biopsychology of mood and arousal

inferredcites →https://doi.org/10.5860/choice.40-0198openalex-snapshot

Music and emotion: theory and research

inferredcites →https://doi.org/10.5860/choice.44-4368openalex-snapshot

Sweet anticipation: music and the psychology of expectation

inferredcites →https://doi.org/10.7208/chicago/9780226521374.001.0001openalex-snapshot

Emotion and Meaning in Music

inferredcites →https://doi.org/10.7551/mitpress/3206.001.0001openalex-snapshot

Gaussian Processes for Machine Learning

inferredcites →https://doi.org/10.7551/mitpress/6575.001.0001openalex-snapshot

Sweet Anticipation

What points at this work

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

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A Theory-Based Explainable Deep Learning Architecture for Music Emotion

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The mood of Chinese Pop music: Representation and recognition

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Uncertainty Estimation in the Real World: A Study on Music Emotion Recognition

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Affective Music Information Retrieval

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Music Emotion Recognition: From Content- to Context-Based Models

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On Constructing a Chinese Task-Oriental Subjectivity Lexicon

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The Principle of Sharpening (I): Filtering. Cosmos Out of Chaos—Aspects and Elements of the Musical Materials

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Das Prinzip Schärfung (I): Filterung. Kosmos aus Chaos

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Speech and Music Emotion Recognition Using Gaussian Processes

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TERMS: textual emotion recognition in multidimensional space

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Identifying affective levels on music video via completing the missing modality

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A survey of music emotion recognition

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An approach of genetic programming for music emotion classification

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Emotion-driven Chinese folk music-image retrieval based on DE-SVM

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Music emotion recognition using PSO‐based fuzzy hyper‐rectangular composite neural networks

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A multi-genre model for music emotion recognition using linear regressors

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Brain state dynamics reflect emotion transitions induced by music

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Music Genre and Emotion Recognition Using Gaussian Processes

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Development of an Automatic Emotional Music Accompaniment System by Fuzzy Logic and Adaptive Partition Evolutionary Genetic Algorithm

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Embedding-Based Music Emotion Recognition Using Composite Loss

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Identifying valence and arousal levels via connectivity between EEG channels

inferred← citeshttps://doi.org/10.1109/acsat.2015.10openalex-snapshot

EEG-based Emotion Recognition while Listening to Quran Recitation Compared with Relaxing Music Using Valence-Arousal Model

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Happiness detection in music using hierarchical SVMs with dual types of kernels

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These words are music to my ears: Recognizing music emotion from lyrics using AdaBoost

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Robust emotion recognition in live music using noise suppression and a hierarchical sparse representation classifier

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Multimodal music emotion classification using AdaBoost with decision stumps

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Linear regression-based adaptation of music emotion recognition models for personalization

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The AMG1608 dataset for music emotion recognition

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A histogram density modeling approach to music emotion recognition

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Music emotion classification using double-layer support vector machines

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An Overview on Perceptually Motivated Audio Indexing and Classification

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Modeling the Affective Content of Music with a Gaussian Mixture Model

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Hierarchical Dirichlet Process Mixture Model for Music Emotion Recognition

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Cross-Dataset and Cross-Cultural Music Mood Prediction: A Case on Western and Chinese Pop Songs

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Predicting the Probability Density Function of Music Emotion Using Emotion Space Mapping

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Using Circular Models to Improve Music Emotion Recognition

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Component Tying for Mixture Model Adaptation in Personalization of Music Emotion Recognition

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Emotion Profile-Based Music Recommendation

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Machine Recognition of Music Emotion

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Personalized music emotion classification via active learning

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Exploring the relationship between categorical and dimensional emotion semantics of music

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The acoustic emotion gaussians model for emotion-based music annotation and retrieval

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Human-centric music medical therapy exploration system

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IMMA-Emo

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Predicting the distribution of emotion perception: capturing inter-rater variability

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Joint Discrete and Continuous Emotion Prediction Using Ensemble and End-to-End Approaches

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Adequate Prompting Improves Performance of Regression Models of Emotional Content

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Music Emotion Detection Using Hierarchical Sparse Kernel Machines

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Musical Rhythms Affect Heart Rate Variability: Algorithm and Models

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Emotional response to music: the Emotify + dataset

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A Survey on Autonomous Techniques for Music Classification based on Human Emotions Recognition

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Emotions in the Brain Are Dynamic and Contextually Dependent: Using Music to Measure Affective Transitions

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Choosing the Right Tune

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Predicting Emotion Perception Across Domains: A Study of Singing and Speaking

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Discretized Continuous Speech Emotion Recognition with Multi-Task Deep Recurrent Neural Network

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Statistical algorithms for emotion classification via functional connectivity

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The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts

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Modeling Musical Emotion Dynamics With Conditional Random Fields.

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Cross-Cultural Music Mood Classification: A Comparison On English And Chinese Songs.

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A Study On Cross-Cultural And Cross-Dataset Generalizability Of Music Mood Regression Models

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