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Automatic Tagging Using Deep Convolutional Neural Networks
TLDR
The experiments show that mel-spectrogram is an effective time-frequency representation for automatic tagging and that more complex models benefit from more training data.
Transfer Learning for Music Classification and Regression Tasks
TLDR
This paper proposes to use a pre-trained convnet feature, a concatenated feature vector using the activations of feature maps of multiple layers in a trained convolutional network, and shows how it can serve as general-purpose music representation.
Convolutional recurrent neural networks for music classification
TLDR
It is found that CRNN show a strong performance with respect to the number of parameter and training time, indicating the effectiveness of its hybrid structure in music feature extraction and feature summarisation.
Computer-aided Melody Note Transcription Using the Tony Software: Accuracy and Efficiency
TLDR
Tony, a software tool for the interactive annotation of melodies from monophonic audio recordings, is presented, and it is shown that Tony’s built in automatic note transcription method compares favourably with existing tools.
A Tutorial on Deep Learning for Music Information Retrieval
TLDR
The basic principles and prominent works in deep learning for MIR are laid out and the network structures that have been successful in MIR problems are outlined to facilitate the selection of building blocks for the problems at hand.
Text-based LSTM networks for Automatic Music Composition
TLDR
The proposed network is designed to learn relationships within text documents that represent chord progressions and drum tracks in two cases, and word-RNNs and character-based RNNs show good results for both cases.
Multidisciplinary Perspectives on Music Emotion Recognition: Implications for Content and Context-Based Models
The prominent status of music in human culture and every day life is due in large part to its striking ability to elicit emotions, which may manifest from slight variation in mood to changes in our
A Study of Cultural Dependence of Perceived Mood in Greek Music
TLDR
The results show that there is a greater agreement in listener’s judgements with Greek background compared to the group with varying background, and suggest valuable implications on the future development of mood prediction systems.
Music Emotion Recognition: From Content- to Context-Based Models
TLDR
A thorough review of studies on the relation of music and emotions from different disciplines and proposed new insights to enhance automated music emotion recognition models using recent results from psychology, musicology, affective computing, semantic technologies and music information retrieval are provided.
Explaining Deep Convolutional Neural Networks on Music Classification
TLDR
It is shown that in the deep layers of a 5-layer CNN, the features are learnt to capture textures, the patterns of continuous distributions, rather than shapes of lines.
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