Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm

Jiao, Yang

doi:10.1155/2021/7131992

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…It extracts the semantics and features of objects directly from audio data and then uses this information to search a large amount of audio data stored in the database for audio data with similar features. Melody-based music retrieval has a branch called humming-based music retrieval [3]. It uses the user's humming or singing to search the music database.…”

Section: Introductionmentioning

confidence: 99%

Music Data Feature Analysis and Extraction Algorithm Based on Music Melody Contour

Zhang

2022

Mobile Information Systems

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Music is a way to reflect people’s real-life emotions, and listening to music has become an inseparable habit of the daily life. Text-based music information retrieval is still the main way for people to find music, but this method has obvious shortcomings and deficiencies, and it is a relatively cumbersome and inefficient method. In order to solve this problem, this paper proposes a feature extraction LAM algorithm based on the contour of music melody. Melody is the most important extraction feature in content-based music retrieval. Users can hum a song according to their own memory and then extract the rhythm, melody, and other information of the hummed audio information to match and identify the rhythm and melody features of the original song stored in the database. The retrieval method is based on the melody, rhythm, and other musical features of music and involves many issues such as the expression of musical melody, feature extraction of musical melody, user query construction, music melody matching, and music database construction. With the help of the customized query interface, media information can be retrieved. Finally, the experiment proves that the top-ten hit rate of the LAM algorithm after clustering is 91.3%, the top-three hit rate is 78.8%, and the first hit rate is 71.2%. The approximate symbol matching DP algorithm has a top-ten hit rate of 83.6%, a top-three hit rate of 66.4%, and a first hit rate of 63.6%. The method proposed in this paper has a high retrieval hit rate.

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Section: Introductionmentioning

confidence: 99%

Music Data Feature Analysis and Extraction Algorithm Based on Music Melody Contour

Zhang

2022

Mobile Information Systems

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Interventions and Reflections on Digital Music Technology in Vocal Performance

Hu,

Yang

2024

Applied Mathematics and Nonlinear Sciences

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With the continuous development of the digital era, digital technology is more and more closely combined with various fields, and the integration and development of digital music technology in vocal performance has also received wider attention. This study analyzes the hierarchical relationship of digital music in depth, explores the effect relationship of digital music technology in combination with vocal recording collection, and further studies the interaction effect of intervening digital music technology in vocal performance from the perspective of interaction relationship. In the actual vocal performance, the peaks of the left and right channels of the music signals of the intervening digital music technology were around ±0.30 and 0.10, respectively, and the volume of the left channel was larger than that of the right channel. In all aspects, the effect of vocal performance on music acquisition is better with digital music technology. Meanwhile, the highest ratio of audience silence in the interactive impact of vocal performance intervening digital music technology was reduced by 10% compared with the traditional vocal performance, which proved that the vocal performance based on digital music technology has a better interactive effect and provided a solid and reliable basis for the development of the integration of digital music technology and vocal performance.

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Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm

Cited by 2 publications

References 18 publications

Music Data Feature Analysis and Extraction Algorithm Based on Music Melody Contour

Music Data Feature Analysis and Extraction Algorithm Based on Music Melody Contour

Interventions and Reflections on Digital Music Technology in Vocal Performance

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