• Title/Summary/Keyword: Content-Based Music Retrieval

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Content-based Music Information Retrieval using Pitch Histogram (Pitch 히스토그램을 이용한 내용기반 음악 정보 검색)

  • 박만수;박철의;김회린;강경옥
    • Journal of Broadcast Engineering
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    • v.9 no.1
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    • pp.2-7
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    • 2004
  • In this paper, we proposed the content-based music information retrieval technique using some MPEG-7 low-level descriptors. Especially, pitch information and timbral features can be applied in music genre classification, music retrieval, or QBH(Query By Humming) because these can be modeling the stochasticpattern or timbral information of music signal. In this work, we restricted the music domain as O.S.T of movie or soap opera to apply broadcasting system. That is, the user can retrievalthe information of the unknown music using only an audio clip with a few seconds extracted from video content when background music sound greeted user's ear. We proposed the audio feature set organized by MPEG-7 descriptors and distance function by vector distance or ratio computation. Thus, we observed that the feature set organized by pitch information is superior to timbral spectral feature set and IFCR(Intra-Feature Component Ratio) is better than ED(Euclidean Distance) as a vector distance function. To evaluate music recognition, k-NN is used as a classifier

A Comparative Analysis of Content-based Music Retrieval Systems (내용기반 음악검색 시스템의 비교 분석)

  • Ro, Jung-Soon
    • Journal of the Korean Society for information Management
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    • v.30 no.3
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    • pp.23-48
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    • 2013
  • This study compared and analyzed 15 CBMR (Content-based Music Retrieval) systems accessible on the web in terms of DB size and type, query type, access point, input and output type, and search functions, with reviewing features of music information and techniques used for transforming or transcribing of music sources, extracting and segmenting melodies, extracting and indexing features of music, and matching algorithms for CBMR systems. Application of text information retrieval techniques such as inverted indexing, N-gram indexing, Boolean search, truncation, keyword and phrase search, normalization, filtering, browsing, exact matching, similarity measure using edit distance, sorting, etc. to enhancing the CBMR; effort for increasing DB size and usability; and problems in extracting melodies, deleting stop notes in queries, and using solfege as pitch information were found as the results of analysis.

The Noise Robust Algorithm to Detect the Starting Point of Music for Content Based Music Retrieval System (노이즈에 강인한 음악 시작점 검출 알고리즘)

  • Kim, Jung-Soo;Sung, Bo-Kyung;Koo, Kwang-Hyo;Ko, Il-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.9
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    • pp.95-104
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    • 2009
  • This paper proposes the noise robust algorithm to detect the starting point of music. Detection of starting point of music is necessary to solve computational-waste problem and retrieval-comparison problem with inconsistent input data in music content based retrieval system. In particular, such detection is even more necessary in time sequential retrieval method that compares data in the sequential order of time in contents based music retrieval system. Whereas it has the long point that the retrieval is fast since it executes simple comparison in the order of time, time sequential retrieval method has the short point that data starting time to be compared should be the same. However, digitalized music cannot guarantee the equity of starting time by bit rate conversion. Therefore, this paper ensured that recognition rate shall not decrease even while executing high speed retrieval by applying time sequential retrieval method through detection of music starting point in the pre-processing stage of retrieval. Starting point detection used minimum wave model that can detect effective sound, and for strength against noise, the noises existing in mute sound were swapped. The proposed algorithm was confirmed to produce about 38% more excellent performance than the results to which starting point detection was not applied, and was verified for the strength against noise.

Designing emotional model and Ontology based on Korean to support extended search of digital music content (디지털 음악 콘텐츠의 확장된 검색을 지원하는 한국어 기반 감성 모델과 온톨로지 설계)

  • Kim, SunKyung;Shin, PanSeop;Lim, HaeChull
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.43-52
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    • 2013
  • In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.

Content-based Music Retrieval by TIP-indexing Techniques and Features of Audio files (TIP-인덱싱 기법과 오디오 화일의 특징계수에 의한 내용기반 음악 검색)

  • Kim Young-In
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.3
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    • pp.10-14
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    • 2006
  • To effectively manage a very large amount of music data, we need an indexing technique based on audio features. But the indexing techniques for audiofeatures have not been studied completely. In this paper, we describe a content-based music information retrieval technique for audio features using the TIP-indexing file. In addition, we develop and experiment the TIP-indexing files using various blocking factors to present performance comparisons for effective indexing. Experimental results show the effectiveness of the proposed techniques.

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Pretreatment For The Problem Solution Of Contents-Based Music Retrieval (내용 기반 음악 검색의 문제점 해결을 위한 전처리)

  • Chung, Myoung-Beom;Sung, Bo-Kyung;Ko, Il-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.6
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    • pp.97-104
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    • 2007
  • This paper presents the problem of the feature extraction techniques that has been used a content-based analysis, classification and retrieval in audio data and proposes a course of the preprocessing for a new contents-based retrieval methods. Because the feature vector according to sampling value changes, the existing audio data analysis is problem that same music is appraised by other music. Therefore, we propose waveform information extraction method of PCM data for retrieval audio data of various format to contents-based. If this method is used. we can find that audio datas that get into sampling in various format are same data. And it may be applied in contents-based music retrieval system. To verity the performance of the method, an experiment was done feature extraction using STFT and waveform information extraction using PCM data. As a result, we could know that the method to propose is effective more.

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Implementation of Music Information Retrieval System using YIN Pitch Information (YIN 피치 정보를 이용한 음악 정보 검색 시스템 구현)

  • Suk, Soo-Young;Chung, Hyun-Yeol
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1398-1406
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    • 2007
  • Providing natural and efficient access to the fast growing multimedia information is a critical aspect for content-based information system. Query by humming system allows the user to find a song by humming part of the tune form music database. Conventional music information retrieval systems use a high precision pitch extraction method. However, it is very difficult to extract true pitch perfectly. So, In this paper, we propose to use YIN parameter with applying the reliability to reduce the pitch extraction errors. And we describes developed music information retrieval method based on a query by humming system which uses reliable feature extraction. Developed system is based on a continuous dynamic programming algorithm with features including pitch, duration and energy along with their confidence measures. The experiment showed that the proposed method could reduce the errors of the top-10 7.2% and the top-1 9.1% compared with the cepsturm based multiple pitch candidate. The overall retrieval system achieved 92.8% correct retrieval in the top-10 rank list on a database of 155 songs.

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Contents Analysis and Synthesis Scheme for Music Album Cover Art

  • Moon, Dae-Jin;Rho, Seung-Min;Hwang, Een-Jun
    • Journal of IKEEE
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    • v.14 no.4
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    • pp.305-311
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    • 2010
  • Most recent web search engines perform effective keyword-based multimedia contents retrieval by investigating keywords associated with multimedia contents on the Web and comparing them with query keywords. On the other hand, most music and compilation albums provide professional artwork as cover art that will be displayed when the music is played. If the cover art is not available, then the music player just displays some dummy or random images, but this has been a source of dissatisfaction. In this paper, in order to automatically create cover art that is matched with music contents, we propose a music album cover art creation scheme based on music contents analysis and result synthesis. We first (i) analyze music contents and their lyrics and extract representative keywords, (ii) expand the keywords using WordNet and generate various queries, (iii) retrieve related images from the Web using those queries, and finally (iv) synthesize them according to the user preference for album cover art. To show the effectiveness of our scheme, we developed a prototype system and reported some results.

Emotion-Based Music Retrieval Using Consistency Principle and Multi-Query Feedback (검색의 일관성원리와 피드백을 이용한 감성기반 음악 검색 시스템)

  • Shin, Song-Yi;Park, En-Jong;Eum, Kyoung-Bae;Lee, Joon-Whoan
    • The KIPS Transactions:PartB
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    • v.17B no.2
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    • pp.99-106
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    • 2010
  • In this paper, we propose the construction of multi-queries and consistency principle for the user's emotion-based music retrieval system. The features used in the system are MPEG-7 audio descriptors, which are international standards recommended for content-based audio retrievals. In addition we propose the method to determine the weight that represent the importance of each descriptor for each emotion in order to reduce the computation. Also, the proposed retrieval algorithm that uses the relevance feedback based on consistency principal and multi-queries improves the success ratio of musics corresponding to user's emotion.

Construction of Theme Melody Index by Transforming Melody to Time-series Data for Content-based Music Information Retrieval (내용기반 음악정보 검색을 위한 선율의 시계열 데이터 변환을 이용한 주제선율색인 구성)

  • Ha, Jin-Seok;Ku, Kyong-I;Park, Jae-Hyun;Kim, Yoo-Sung
    • The KIPS Transactions:PartD
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    • v.10D no.3
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    • pp.547-558
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    • 2003
  • From the viewpoint of that music melody has the similar features to time-series data, music melody is transformed to a time-series data with normalization and corrections and the similarity between melodies is defined as the Euclidean distance between the transformed time-series data. Then, based the similarity between melodies of a music object, melodies are clustered and the representative of each cluster is extracted as one of theme melodies for the music. To construct the theme melody index, a theme melody is represented as a point of the multidimensional metric space of M-tree. For retrieval of user's query melody, the query melody is also transformed into a time-series data by the same way of indexing phase. To retrieve the similar melodies to the query melody given by user from the theme melody index the range query search algorithm is used. By the implementation of the prototype system using the proposed theme melody index we show the effectiveness of the proposed methods.