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February 22, 2026International Journal of Information and Communication Technology0 citationsOpen Access

Investigation of a music genre data classification method based on an improved ECAPA-TDNN algorithm

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DLDongyan LiSDShuhan Du

Key Points

  • The aim is to improve music genre classification using an updated ECAPA-TDNN algorithm.
  • Developed an enhanced version of ECAPA-TDNN algorithm for data classification.
  • Implemented machine learning techniques to process music genre data.
  • Tested algorithm performance against existing classification methods.
  • Observed improvements in classification accuracy compared to previous methods.
  • Demonstrated effectiveness in handling diverse music genres.
  • Achieved faster processing times for genre identification.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/699a9d7a482488d673cd365ahttps://doi.org/10.1504/ijict.2026.10076436
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