Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm
In order to improve the feature extraction effect of digital music and improve the efficiency of music retrieval, this paper combines digital technology to analyze music waveforms, extract music features, and realize digital processing of music features. Taking the extraction of waveform music file...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/7131992 |
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| _version_ | 1832560711505543168 |
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| author | Yang Jiao |
| author_facet | Yang Jiao |
| author_sort | Yang Jiao |
| collection | DOAJ |
| description | In order to improve the feature extraction effect of digital music and improve the efficiency of music retrieval, this paper combines digital technology to analyze music waveforms, extract music features, and realize digital processing of music features. Taking the extraction of waveform music file features as the starting point, this paper combines the digital music feature extraction algorithm to build a music feature extraction model and conducts an in-depth analysis of the digital music waveform extraction process. In addition, by setting the threshold, the linear difference between the sampling points on both sides of the threshold on the leading edge of the waveform is used to obtain the overthreshold time. From the experimental research results, it can be seen that the music feature extraction model based on digital music waveform analysis proposed in this paper has good results. |
| format | Article |
| id | doaj-art-09da35affae44cac8a960abb18a5f6cc |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-09da35affae44cac8a960abb18a5f6cc2025-02-03T01:26:54ZengWileyAdvances in Multimedia1687-56992021-01-01202110.1155/2021/7131992Digital Music Waveform Analysis and Retrieval Based on Feature Extraction AlgorithmYang Jiao0Xinyang Vocational and Technical CollegeIn order to improve the feature extraction effect of digital music and improve the efficiency of music retrieval, this paper combines digital technology to analyze music waveforms, extract music features, and realize digital processing of music features. Taking the extraction of waveform music file features as the starting point, this paper combines the digital music feature extraction algorithm to build a music feature extraction model and conducts an in-depth analysis of the digital music waveform extraction process. In addition, by setting the threshold, the linear difference between the sampling points on both sides of the threshold on the leading edge of the waveform is used to obtain the overthreshold time. From the experimental research results, it can be seen that the music feature extraction model based on digital music waveform analysis proposed in this paper has good results.http://dx.doi.org/10.1155/2021/7131992 |
| spellingShingle | Yang Jiao Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm Advances in Multimedia |
| title | Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm |
| title_full | Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm |
| title_fullStr | Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm |
| title_full_unstemmed | Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm |
| title_short | Digital Music Waveform Analysis and Retrieval Based on Feature Extraction Algorithm |
| title_sort | digital music waveform analysis and retrieval based on feature extraction algorithm |
| url | http://dx.doi.org/10.1155/2021/7131992 |
| work_keys_str_mv | AT yangjiao digitalmusicwaveformanalysisandretrievalbasedonfeatureextractionalgorithm |