Similar music search method and apparatus using music content summary
First Claim
1. A similar music search method, comprising:
- extracting an audio feature value from a compression zone of a music file and generating a music content summary using the extracted audio feature;
classifying a mood and a genre of the music file using the generated music content summary;
extracting a similarity feature for a similarity retrieval from the music content summary;
storing information on the classified mood and genre and the extracted similarity feature information in a database;
receiving a query music;
detecting a mood and a genre of the query music;
measuring a similarity between the query music and music files that are identical in the mood and the genre to the query music by referring to the database; and
retrieving the similar music with respect to the query music based on the measured similarity.
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Abstract
A similar music search method, including: extracting an audio feature value from a compression zone of a music file and generating a music content summary using the extracted audio feature; classifying a mood and a genre of the music file by using the generated music content summary; extracting a similarity feature for a similarity retrieval from the music content summary; storing an information on the classified mood and a genre and the extracted similarity feature information in a database; receiving a query music; detecting the mood and the genre of the query music; measuring a similarity between the query music and music files having a mood and a genre identical to the query music by referring to the database; and retrieving the similar music with respect to the query music based on the measured similarity.
93 Citations
22 Claims
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1. A similar music search method, comprising:
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extracting an audio feature value from a compression zone of a music file and generating a music content summary using the extracted audio feature;
classifying a mood and a genre of the music file using the generated music content summary;
extracting a similarity feature for a similarity retrieval from the music content summary;
storing information on the classified mood and genre and the extracted similarity feature information in a database;
receiving a query music;
detecting a mood and a genre of the query music;
measuring a similarity between the query music and music files that are identical in the mood and the genre to the query music by referring to the database; and
retrieving the similar music with respect to the query music based on the measured similarity. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer-readable recording medium in which a program for executing a similar music search method is recorded, the method comprising:
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extracting an audio feature value from a compression zone of a music file and generating a music content summary using the extracted audio feature;
classifying a mood and a genre of the music file using the generated music content summary;
extracting a similarity feature for a similarity retrieval from the music content summary;
storing information on the classified mood and genre and the extracted similarity feature information in a database;
receiving a query music from a user;
detecting a mood and a genre of the query music;
measuring a similarity between the query music and music files that are identical in the mood and the genre to the query music by referring to the database; and
retrieving the similar music with respect to the query music based on the measured similarity.
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11. An apparatus for retrieving a similar music by using a music content summary, comprising:
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a music content summary generation unit extracting an audio feature value from a compression zone of a music file and generating the music content summary using the extracted audio feature value;
a first feature extraction unit extracting an MDCT-based timbre feature and an MDCT-based tempo feature from the generated music content summary;
a mood/genre classification unit classifying a mood and a genre of the music file according to the feature extracted by the first feature extraction unit;
a second feature extraction unit extracting a similarity feature for a similarity retrieval from the music content summary;
a database storing information on the classified mood and genre and the extracted similarity feature information;
a music input unit receiving a query music;
query music detection unit detecting a mood and a genre of the query music; and
a retrieval unit measuring a similarity between the query music and music files that are identical in the mood and the genre to the query music and retrieving the similar music with respect to the query music according to the measured similarity. - View Dependent Claims (12, 13, 14, 15, 16, 17)
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18. A similar music search method, comprising:
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classifying a mood and a genre of a music file using a music content summary generated based on an extracted audio feature value from a compression zone of the music file;
extracting a similarity feature for a similarity retrieval from the music content summary;
storing information on the classified mood and genre and an extracted similarity feature from the music content summary;
detecting a mood and a genre of an input query music;
measuring a similarity between the query music and music files that are identical in mood and genre to the query music by referring to the database; and
retrieving the similar music with respect to the query music based on the measured similarity. - View Dependent Claims (19)
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20. A music contents summary generation method, comprising:
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extracting an audio feature value from a compression zone of the music file;
reconfiguring segments of the music file by tracking a music content change point using the extracted feature values;
first clustering the reconfigured segments using a Bayesian Information Criterion (BIC) method, and measuring a similarity and a repeatability between the reconfigured segments;
extracting an MDCT-based timbre feature and an MDCT-MS-based tempo feature from each of the reconfigured segments;
second clustering the reconfigured segments by calculating a Euclidean distance for the extracted timbre and tempo features and measuring the similarity and the repeatability between the reconfigured segments, the reconfigured segments being second clustered according to the similarity values based on the Euclidean distances; and
determining the similarity and the repeatability between the segments based on a result of a comparison between the first clustering a the second clustering. - View Dependent Claims (21, 22)
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Specification