Music boundary detection using neural networks on spectrograms and self-similarity lag matrices
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- Type
- article
- Published
- 2015-12-28
- Cited by
- 33
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W2207975468
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8253172
Keywords
Spectrogram, Convolutional neural network, Similarity (geometry), Computer science, Artificial intelligence
References
- Unsupervised Detection of Music Boundaries by Time Series Structure Features
- Learning to segment songs with ordinal linear discriminant analysis
- Repeating pattern discovery and structure analysis from acoustic music data
- Music Structure Analysis Using a Probabilistic Fitness Measure and a Greedy Search Algorithm
- Cross recurrence quantification for cover song identification
- Music structure analysis by finding repeated parts
- Automatic audio segmentation using a measure of audio novelty
- Design and creation of a large-scale database of structural annotations
- Perceptual Analysis of the F-Measure to Evaluate Section Boundaries in Music
- Boundary Detection in Music Structure Analysis using Convolutional Neural Networks
- Analyzing Song Structure with Spectral Clustering
- A Supervised Approach for Detecting Boundaries in Music Using Difference Features and Boosting
- Audio-based Music Structure Analysis
- STRUCTURAL SEGMENTATION WITH CONVOLUTIONAL NEURAL NETWORKS MIREX SUBMISSION
Cited by
- Music Boundary Detection Using Neural Networks on Combined Features and Two-Level Annotations
- Convolutional Neural Networks with Batch Normalization for Classifying Hi-hat, Snare, and Bass Percussion Sound Samples
- Neural networks for analysing music and environmental audio
- A Tutorial on Deep Learning for Music Information Retrieval
- Speech-music discrimination using deep visual feature extractors
- Deep neural networks for music tagging
- Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning
- The skipping behavior of users of music streaming services and its relation to musical structure
- Unsupervised Learning of Deep Features for Music Segmentation
- Bidirectional Convolutional Recurrent Sparse Network (BCRSN): An Efficient Model for Music Emotion Recognition
- Music detection from broadcast contents using convolutional neural networks with a Mel-scale kernel
- Automatic Tagging Using Deep Convolutional Neural Networks
- Structural analysis of recorded music
- Score-informed Networks for Music Performance Assessment
- Music Boundary Detection using Convolutional Neural Networks: A comparative analysis of combined input features
- Detecting Generic Music Features with Single Layer Feedforward Network using Unsupervised Hebbian Computation
- MusicTM-Dataset for Joint Representation Learning Among Sheet Music, Lyrics, and Musical Audio
- Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications
- Recognition of Urban Sound Events Using Deep Context-Aware Feature Extractors and Handcrafted Features
- Supervised Chorus Detection for Popular Music Using Convolutional Neural Network and Multi-Task Learning
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