Cover Image

Attention-guided Spectrogram Sequence Modeling with CNNs for Music Genre Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Sridhar, Aditya
Format:	Preprint
Published:	2024
Subjects:	Sound Computer Vision and Pattern Recognition Machine Learning Audio and Speech Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Music Genre Classification using Large Language Models
by: Meguenani, Mohamed El Amine, et al.
Published: (2024)

The Effect of Perceptual Metrics on Music Representation Learning for Genre Classification
by: Namgyal, Tashi, et al.
Published: (2024)

Spectrogram-Based Detection of Auto-Tuned Vocals in Music Recordings
by: Gohari, Mahyar, et al.
Published: (2024)

Multi-View Spectrogram Transformer for Respiratory Sound Classification
by: He, Wentao, et al.
Published: (2023)

Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer
by: Yadav, Amit Kumar Singh, et al.
Published: (2024)

ASiT: Local-Global Audio Spectrogram vIsion Transformer for Event Classification
by: Atito, Sara, et al.
Published: (2022)

ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning
by: Gupta, Pranav, et al.
Published: (2024)

Music Genre Classification: Training an AI model
by: Mogonediwa, Keoikantse
Published: (2024)

A High-Accuracy Optical Music Recognition Method Based on Bottleneck Residual Convolutions
by: Ma, Junwen, et al.
Published: (2026)

GCDance: Genre-Controlled Music-Driven 3D Full Body Dance Generation
by: Liu, Xinran, et al.
Published: (2025)

Dynamic Cross Attention for Audio-Visual Person Verification
by: Praveen, R. Gnana, et al.
Published: (2024)

Acoustic Scene Classification: A Competition Review
by: Gharib, Shayan, et al.
Published: (2018)

Audio Processing using Pattern Recognition for Music Genre Classification
by: Chatterjee, Sivangi, et al.
Published: (2024)

Attention Isn't All You Need for Emotion Recognition:Domain Features Outperform Transformers on the EAV Dataset
by: Guragain, Anmol
Published: (2026)

PF-D2M: A Pose-free Diffusion Model for Universal Dance-to-Music Generation
by: Im, Jaekwon, et al.
Published: (2026)

Synthesizing Audio from Silent Video using Sequence to Sequence Modeling
by: Belinchon, Hugo Garrido-Lestache, et al.
Published: (2024)

V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
by: Su, Kun, et al.
Published: (2023)

Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification
by: Dong, Mingwen
Published: (2018)

NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
by: Tang, Mingni, et al.
Published: (2025)

Addressing Representation Collapse in Vector Quantized Models with One Linear Layer
by: Zhu, Yongxin, et al.
Published: (2024)

Exploring Audio Cues for Enhanced Test-Time Video Model Adaptation
by: Zeng, Runhao, et al.
Published: (2025)

MMAudioReverbs: Video-Guided Acoustic Modeling for Dereverberation and Room Impulse Response Estimation
by: Takahashi, Akira, et al.
Published: (2026)

MMAudioSep: Taming Video-to-Audio Generative Model Towards Video/Text-Queried Sound Separation
by: Takahashi, Akira, et al.
Published: (2025)

When Vision Models Meet Parameter Efficient Look-Aside Adapters Without Large-Scale Audio Pretraining
by: Yeo, Juan, et al.
Published: (2024)

Tune It Up: Music Genre Transfer and Prediction
by: Samet, Fidan, et al.
Published: (2025)

FLUX that Plays Music
by: Fei, Zhengcong, et al.
Published: (2024)

Music Genre Classification: Ensemble Learning with Subcomponents-level Attention
by: Liu, Yichen, et al.
Published: (2024)

Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription
by: Ríos-Vila, Antonio, et al.
Published: (2024)

Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model
by: Sun, Changchang, et al.
Published: (2025)

UniMuMo: Unified Text, Music and Motion Generation
by: Yang, Han, et al.
Published: (2024)

Unboxing Engagement in YouTube Influencer Videos: An Attention-Based Approach
by: Rajaram, Prashant, et al.
Published: (2020)

Ditto: Motion-Space Diffusion for Controllable Realtime Talking Head Synthesis
by: Li, Tianqi, et al.
Published: (2024)

Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding
by: Rehman, Yasar Abbas Ur, et al.
Published: (2024)

Assessing the Robustness of Spectral Clustering for Deep Speaker Diarization
by: Raghav, Nikhil, et al.
Published: (2024)

Exploring Green AI for Audio Deepfake Detection
by: Saha, Subhajit, et al.
Published: (2024)

Joint Multimodal Transformer for Emotion Recognition in the Wild
by: Waligora, Paul, et al.
Published: (2024)

Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities
by: Menon, Luciana Trinkaus, et al.
Published: (2024)

An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment
by: Malard, Hugo, et al.
Published: (2024)

Developing an AI-based Integrated System for Bee Health Evaluation
by: Liang, Andrew
Published: (2024)

Integrating Audio, Visual, and Semantic Information for Enhanced Multimodal Speaker Diarization
by: Cheng, Luyao, et al.
Published: (2024)