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Optimization of Vocal Singing Training Methods Using Intelligent Big Data Technology.

Yong Lin1, Kang Mao2

  • 1Conservatory of Music, Jeonbuk National University, Jeonju 561756, Republic of Korea.

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|July 20, 2022
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Summary
This summary is machine-generated.

This study introduces intelligent big data technology to optimize Chinese phonetic training, enhancing self-learning and interest. The new methods are proven "absolutely reliable" for modern vocal education.

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Area of Science:

  • Educational Technology
  • Music Education
  • Computational Linguistics

Background:

  • Information and computer technology are crucial for developing student inquiry skills.
  • The "Internet+" era necessitates new, flexible phonics teaching methods.
  • Existing music classroom software is insufficient for effective phonetic training.

Purpose of the Study:

  • To research and implement effective teaching aids for music classrooms.
  • To optimize Chinese phonetic training using intelligent big data technology.
  • To enhance self-learning ability and interest in Chinese phonetics.

Main Methods:

  • Utilizing intelligent big data technology for phonetic training optimization.
  • Developing specific, scientific, and diverse teaching methods.
  • Leveraging Internet resources for phonics education beyond simple collection.

Main Results:

  • Phonetic teaching optimization process showed a weight increase of 0.154.
  • Control reliability fuzzy quantifier indicated "absolutely reliable" results.
  • Improved self-learning ability and learning interest among Chinese phonetic learners.

Conclusions:

  • Intelligent big data technology offers a scientific and modern approach to Chinese vocal education.
  • Optimized phonetic training methods can significantly benefit learners.
  • This research proposes innovative thinking for the advancement of Chinese vocal education.