Music Genre Classification: Training an AI model
Fuente:
arXiv
Saved in:
| Main Author: | Mogonediwa, Keoikantse |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Audio Processing using Pattern Recognition for Music Genre Classification
by: Chatterjee, Sivangi, et al.
Published: (2024)
by: Chatterjee, Sivangi, et al.
Published: (2024)
Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification
by: Dong, Mingwen
Published: (2018)
by: Dong, Mingwen
Published: (2018)
Tune It Up: Music Genre Transfer and Prediction
by: Samet, Fidan, et al.
Published: (2025)
by: Samet, Fidan, et al.
Published: (2025)
Comparison of spectrogram scaling in multi-label Music Genre Recognition
by: Karpiński, Bartosz, et al.
Published: (2025)
by: Karpiński, Bartosz, et al.
Published: (2025)
Music Genre Classification: Ensemble Learning with Subcomponents-level Attention
by: Liu, Yichen, et al.
Published: (2024)
by: Liu, Yichen, et al.
Published: (2024)
Dynamic Range Compression and Its Effect on Music Genre Classification
by: Madsen III, Arlyn Reese
Published: (2024)
by: Madsen III, Arlyn Reese
Published: (2024)
Watermarking Training Data of Music Generation Models
by: Epple, Pascal, et al.
Published: (2024)
by: Epple, Pascal, et al.
Published: (2024)
A Novel Audio Representation for Music Genre Identification in MIR
by: Kamuni, Navin, et al.
Published: (2024)
by: Kamuni, Navin, et al.
Published: (2024)
Attention-guided Spectrogram Sequence Modeling with CNNs for Music Genre Classification
by: Sridhar, Aditya
Published: (2024)
by: Sridhar, Aditya
Published: (2024)
Subtractive Training for Music Stem Insertion using Latent Diffusion Models
by: Villa-Renteria, Ivan, et al.
Published: (2024)
by: Villa-Renteria, Ivan, et al.
Published: (2024)
Machine Learning Approaches to Vocal Register Classification in Contemporary Male Pop Music
by: Kim, Alexander, et al.
Published: (2025)
by: Kim, Alexander, et al.
Published: (2025)
Interpreting Graphic Notation with MusicLDM: An AI Improvisation of Cornelius Cardew's Treatise
by: Karchkhadze, Tornike, et al.
Published: (2024)
by: Karchkhadze, Tornike, et al.
Published: (2024)
Automatic Identification of Samples in Hip-Hop Music via Multi-Loss Training and an Artificial Dataset
by: Cheston, Huw, et al.
Published: (2025)
by: Cheston, Huw, et al.
Published: (2025)
MusicRL: Aligning Music Generation to Human Preferences
by: Cideron, Geoffrey, et al.
Published: (2024)
by: Cideron, Geoffrey, et al.
Published: (2024)
AI-Assisted Music Production: A User Study on Text-to-Music Models
by: Ronchini, Francesca, et al.
Published: (2025)
by: Ronchini, Francesca, et al.
Published: (2025)
Anticipatory Music Transformer
by: Thickstun, John, et al.
Published: (2023)
by: Thickstun, John, et al.
Published: (2023)
Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces
by: Atassi, Lilac
Published: (2024)
by: Atassi, Lilac
Published: (2024)
ProGress: Structured Music Generation via Graph Diffusion and Hierarchical Music Analysis
by: Ni-Hahn, Stephen, et al.
Published: (2025)
by: Ni-Hahn, Stephen, et al.
Published: (2025)
Score-informed Music Source Separation: Improving Synthetic-to-real Generalization in Classical Music
by: Tunturi, Eetu, et al.
Published: (2025)
by: Tunturi, Eetu, et al.
Published: (2025)
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
by: Chou, Yi-Hui, et al.
Published: (2021)
by: Chou, Yi-Hui, et al.
Published: (2021)
Progressive Rock Music Classification
by: Nagar, Arpan, et al.
Published: (2025)
by: Nagar, Arpan, et al.
Published: (2025)
GE2E-AC: Generalized End-to-End Loss Training for Accent Classification
by: Watanabe, Chihiro, et al.
Published: (2024)
by: Watanabe, Chihiro, et al.
Published: (2024)
Multi-Source Music Generation with Latent Diffusion
by: Xu, Zhongweiyang, et al.
Published: (2024)
by: Xu, Zhongweiyang, et al.
Published: (2024)
Benchmarking Representations for Speech, Music, and Acoustic Events
by: La Quatra, Moreno, et al.
Published: (2024)
by: La Quatra, Moreno, et al.
Published: (2024)
Evaluating Disentangled Representations for Controllable Music Generation
by: Ibáñez-Martínez, Laura, et al.
Published: (2026)
by: Ibáñez-Martínez, Laura, et al.
Published: (2026)
Learning Music Audio Representations With Limited Data
by: Plachouras, Christos, et al.
Published: (2025)
by: Plachouras, Christos, et al.
Published: (2025)
Reducing Barriers to the Use of Marginalised Music Genres in AI
by: Bryan-Kinns, Nick, et al.
Published: (2024)
by: Bryan-Kinns, Nick, et al.
Published: (2024)
The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
by: Namgyal, Tashi, et al.
Published: (2024)
by: Namgyal, Tashi, et al.
Published: (2024)
Generating Music with Structure Using Self-Similarity as Attention
by: Hager, Sophia, et al.
Published: (2024)
by: Hager, Sophia, et al.
Published: (2024)
Music Emotion Prediction Using Recurrent Neural Networks
by: Chang, Xinyu, et al.
Published: (2024)
by: Chang, Xinyu, et al.
Published: (2024)
Parameter-Efficient Transfer Learning for Music Foundation Models
by: Ding, Yiwei, et al.
Published: (2024)
by: Ding, Yiwei, et al.
Published: (2024)
Do Foundational Audio Encoders Understand Music Structure?
by: Toyama, Keisuke, et al.
Published: (2025)
by: Toyama, Keisuke, et al.
Published: (2025)
Online Symbolic Music Alignment with Offline Reinforcement Learning
by: Peter, Silvan David
Published: (2023)
by: Peter, Silvan David
Published: (2023)
Semantic-Aware Interpretable Multimodal Music Auto-Tagging
by: Patakis, Andreas, et al.
Published: (2025)
by: Patakis, Andreas, et al.
Published: (2025)
Similarity-Guided Diffusion for Long-Gap Music Inpainting
by: Turland, Sean, et al.
Published: (2025)
by: Turland, Sean, et al.
Published: (2025)
MAIA: An Inpainting-Based Approach for Music Adversarial Attacks
by: Liu, Yuxuan, et al.
Published: (2025)
by: Liu, Yuxuan, et al.
Published: (2025)
Transcribing Rhythmic Patterns of the Guitar Track in Polyphonic Music
by: Lukoianov, Aleksandr, et al.
Published: (2025)
by: Lukoianov, Aleksandr, et al.
Published: (2025)
Beyond Genre: Diagnosing Bias in Music Embeddings Using Concept Activation Vectors
by: Gebhardt, Roman B., et al.
Published: (2025)
by: Gebhardt, Roman B., et al.
Published: (2025)
Exploring Transformer-Based Music Overpainting for Jazz Piano Variations
by: Row, Eleanor, et al.
Published: (2024)
by: Row, Eleanor, et al.
Published: (2024)
COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations
by: Ciranni, Ruben, et al.
Published: (2024)
by: Ciranni, Ruben, et al.
Published: (2024)
Similar Items
-
Audio Processing using Pattern Recognition for Music Genre Classification
by: Chatterjee, Sivangi, et al.
Published: (2024) -
Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification
by: Dong, Mingwen
Published: (2018) -
Tune It Up: Music Genre Transfer and Prediction
by: Samet, Fidan, et al.
Published: (2025) -
Comparison of spectrogram scaling in multi-label Music Genre Recognition
by: Karpiński, Bartosz, et al.
Published: (2025) -
Music Genre Classification: Ensemble Learning with Subcomponents-level Attention
by: Liu, Yichen, et al.
Published: (2024)