Music Genre Classification Using Long Short-Term Memory (LSTM) Networks

Suman Kumar Swarnkar; Yogesh Kumar Rathore

doi:10.1201/9781003477280-6

ScienceGate Book Chapters

BOOK-CHAPTER

Music Genre Classification Using Long Short-Term Memory (LSTM) Networks

Suman Kumar Swarnkar Yogesh Kumar Rathore

Year: 2024 Pages: 74-84

DOI: 10.1201/9781003477280-6

Get Full-Text PDF Get Analytical Report

Keywords:

Long short term memory Term (time) Computer science Speech recognition Artificial intelligence Artificial neural network Recurrent neural network Physics

Metrics

Cited By

1.77

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Music and Audio Processing

Physical Sciences → Computer Science → Signal Processing

Diverse Musicological Studies

Social Sciences → Arts and Humanities → Music

Speech Recognition and Synthesis

Physical Sciences → Computer Science → Artificial Intelligence

Music Genre Classification Using Long Short-Term Memory (LSTM) Networks

Metrics

Citation History

Topics

Related Documents

Music genre classification using a hierarchical long short term memory (LSTM) model

ECG Signal Classification using Long Short-Term Memory (LSTM) Networks

Music Genre Classification Using Long Short-Term Memory with Gated Recurrent Unit

Long short-term memory (LSTM) networks

Music Genre Classification based on Bidirectional-Long Short Term Memory Combined Convolutional Neural Networks