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Genre classification

Genre classification is the process of grouping objects together based on defined similarities such as shape, pixel, location, or intensity.

Papers

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Showing 101–125 of 130 papers

TitleStatusHype
Classification of Audio Segments in Call Center Recordings using Convolutional Recurrent Neural Networks—0
CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following—0
Convolution channel separation and frequency sub-bands aggregation for music genre classification—0
Cross-Lingual Genre Classification—0
Deep learning for video game genre classification—0
Deep multi-modal networks for book genre classification based on its cover—0
Derivation of Document Vectors from Adaptation of LSTM Language Model—0
Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization—0
Estimating Confidence of Predictions of Individual Classifiers and Their Ensembles for the Genre Classification Task—0
Estimating Confidence of Predictions of Individual Classifiers and TheirEnsembles for the Genre Classification Task—0
Evaluating Deep Music Generation Methods Using Data Augmentation—0
EVolutionary Independent DEtermiNistiC Explanation—0
Explaining Classes through Word Attribution—0
Exploring Genre and Success Classification through Song Lyrics using DistilBERT: A Fun NLP Venture—0
Exploring Music Genre Classification: Algorithm Analysis and Deployment Architecture—0
Fine-tuning Convolutional Neural Networks for fine art classification—0
GAFX: A General Audio Feature eXtractor—0
Genre classification for a corpus of academic webpages—0
Genre classification using Balanced Winnow in the DEFT 2014 challenge—0
Graph Representation learning for Audio & Music genre Classification—0
GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers—0
Heuristic Ternary Error-Correcting Output Codes Via Weight Optimization and Layered Clustering-Based Approach—0
Investigating the Relationship between Literary Genres and Emotional Plot Development—0
Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Text—0
Lukthung Classification Using Neural Networks on Lyrics and Audios—0
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