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DBTMPE: Deep Bidirectional Transformers-Based Masked Predictive Encoder Approach for Music Genre Classification

https://doi.org/10.3390/math9050530
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What this work says

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

inferredcites →https://doi.org/10.1016/j.neucom.2018.02.076openalex-snapshot
Music auto-tagging using deep Recurrent Neural Networks
inferredcites →https://doi.org/10.1016/j.neucom.2019.09.054openalex-snapshot
Deep attention based music genre classification
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/icassp.2014.6854950openalex-snapshot
End-to-end learning for music audio
inferredcites →https://doi.org/10.1109/icassp.2017.7952190openalex-snapshot
Very deep convolutional neural networks for raw waveforms
inferredcites →https://doi.org/10.1109/icassp.2017.7952585openalex-snapshot
Convolutional recurrent neural networks for music classification
inferredcites →https://doi.org/10.1109/icassp40776.2020.9054458openalex-snapshot
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders
inferredcites →https://doi.org/10.1109/jstsp.2019.2909479openalex-snapshot
Comparison and Analysis of SampleCNN Architectures for Audio Classification
inferredcites →https://doi.org/10.1109/msp.2018.2874383openalex-snapshot
Deep Learning for Audio-Based Music Classification and Tagging: Teaching Computers to Distinguish Rock from Bach
inferredcites →https://doi.org/10.1145/3273024.3273035openalex-snapshot
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns
inferredcites →https://doi.org/10.1162/0148926042728449openalex-snapshot
Algorithmic Clustering of Music Based on String Compression
inferredcites →https://doi.org/10.1186/s13673-020-00252-8openalex-snapshot
Newspaper article-based agent control in smart city simulations
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/p18-1031openalex-snapshot
Universal Language Model Fine-tuning for Text Classification
inferredcites →https://doi.org/10.21437/interspeech.2015-1openalex-snapshot
Learning the speech front-end with raw waveform CLDNNs
inferredcites →https://doi.org/10.21437/interspeech.2020-1570openalex-snapshot
SpeechBERT: An Audio-and-Text Jointly Learned Language Model for End-to-End Spoken Question Answering
inferredcites →https://doi.org/10.3390/app8010150openalex-snapshot
SampleCNN: End-to-End Deep Convolutional Neural Networks Using Very Small Filters for Music Classification
inferredcites →https://doi.org/10.3390/math7100883openalex-snapshot
Automatic Melody Composition Using Enhanced GAN
inferredcites →https://doi.org/10.3390/math8030460openalex-snapshot
FastText-Based Local Feature Visualization Algorithm for Merged Image-Based Malware Classification Framework for Cyber Security and Cyber Defense
inferredcites →https://doi.org/10.3837/tiis.2018.04.026openalex-snapshot
Korean Traditional Music Genre Classification Using Sample and MIDI Phrases
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1703.01789openalex-snapshot
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-snapshot
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1711.02520openalex-snapshot
End-to-end learning for music audio tagging at scale
inferredcites →https://doi.org/10.48550/arxiv.1910.05453openalex-snapshot
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
inferredcites →https://doi.org/10.48550/arxiv.1910.09932openalex-snapshot
Improving Transformer-based Speech Recognition Using Unsupervised Pre-training
inferredcites →https://doi.org/10.5072/zenodo.251644openalex-snapshot
End-to-end Learning for Music Audio Tagging at Scale
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.1416287openalex-snapshot
Feature Extraction And Machine Learning On Symbolic Music Using The Music21 Toolkit.

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-42511-0_48openalex-snapshot
Instruments Music Composition in Different Genres and Techniques Using AI: A Review
inferred← citeshttps://doi.org/10.1007/s00034-024-02641-1openalex-snapshot
Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music Using Discrete Wavelet Transform
inferred← citeshttps://doi.org/10.1007/s00034-024-02696-0openalex-snapshot
Fisher Discriminative Embedding Low-Rank Sparse Representation for Music Genre Classification
inferred← citeshttps://doi.org/10.1007/s00530-021-00886-3openalex-snapshot
Music genre classification based on auditory image, spectral and acoustic features
inferred← citeshttps://doi.org/10.1007/s11042-022-12523-wopenalex-snapshot
CONEqNet: convolutional music equalizer network
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2022.107978openalex-snapshot
An intelligent music genre analysis using feature extraction and classification using deep learning techniques
inferred← citeshttps://doi.org/10.1016/j.entcom.2022.100518openalex-snapshot
PMG-Net: Persian music genre classification using deep neural networks
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e24892openalex-snapshot
Optimizing the configuration of deep learning models for music genre classification
inferred← citeshttps://doi.org/10.1016/j.sasc.2026.200562openalex-snapshot
Research on the personalized assessment model of intangible cultural heritage music integrating deep learning and multimodal affective computing
inferred← citeshttps://doi.org/10.1109/access.2022.3192462openalex-snapshot
Generic Symbolic Music Labeling Pipeline
inferred← citeshttps://doi.org/10.1109/access.2023.3318015openalex-snapshot
A Survey of Audio Classification Using Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3459791openalex-snapshot
The Usage of Artificial Intelligence Technology in Music Education System Under Deep Learning
inferred← citeshttps://doi.org/10.1109/access.2024.3478731openalex-snapshot
Hybrid Transformer Architectures With Diverse Audio Features for Deepfake Speech Classification
inferred← citeshttps://doi.org/10.1109/iacis61494.2024.10722009openalex-snapshot
Music Genre Classification based on Bidirectional-Long Short Term Memory Combined Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1145/3714457openalex-snapshot
Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: A Survey
inferred← citeshttps://doi.org/10.1155/2022/6727429openalex-snapshot
[Retracted] Evaluation Strategy of the Piano Performance by the Deep Learning Long Short‐Term Memory Network
inferred← citeshttps://doi.org/10.1371/journal.pone.0319027openalex-snapshot
An improved ViT model for music genre classification based on mel spectrogram
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2348537/v1openalex-snapshot
Classification of Indian Classical Music (Hindustani Music) Genres through MFCCs Features using RNN-LSTM Model
inferred← citeshttps://doi.org/10.33395/sinkron.v8i2.12912openalex-snapshot
Music Genre Classification Using K-Nearest Neighbor and Mel-Frequency Cepstral Coefficients
inferred← citeshttps://doi.org/10.3390/app132312673openalex-snapshot
Deformer: Denoising Transformer for Improved Audio Music Genre Classification
inferred← citeshttps://doi.org/10.3390/math10152747openalex-snapshot
Enhanced Evaluation Method of Musical Instrument Digital Interface Data based on Random Masking and Seq2Seq Model
inferred← citeshttps://doi.org/10.3390/math10234427openalex-snapshot
Machine Learning for Music Genre Classification Using Visual Mel Spectrum
inferred← citeshttps://doi.org/10.3390/math11040798openalex-snapshot
MRBERT: Pre-Training of Melody and Rhythm for Automatic Music Generation
inferred← citeshttps://doi.org/10.3390/math11071743openalex-snapshot
Traffic Accident Detection Method Using Trajectory Tracking and Influence Maps
inferred← citeshttps://doi.org/10.3390/math11132884openalex-snapshot
Traffic Accident Detection Using Background Subtraction and CNN Encoder–Transformer Decoder in Video Frames
inferred← citeshttps://doi.org/10.3390/math12101549openalex-snapshot
Music Genre Classification Based on VMD-IWOA-XGBOOST
inferred← citeshttps://doi.org/10.3390/math9182274openalex-snapshot
3D-DCDAE: Unsupervised Music Latent Representations Learning Method Based on a Deep 3D Convolutional Denoising Autoencoder for Music Genre Classification
inferred← citeshttps://doi.org/10.5334/tismir.203openalex-snapshot
The GigaMIDI Dataset with Features for Expressive Music Performance Detection
inferred← citeshttps://doi.org/10.7717/peerj-cs.1410openalex-snapshot
A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks
inferred← citeshttps://doi.org/10.7717/peerj-cs.3233openalex-snapshot
TuFoC: regional classification of Turkish folk music recordings using deep learning on Mel spectrograms
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