• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
• /
• 2002.10a
• /
• pp.68-72
• /
• 2002

Localization with array sensors has been applied for not only military but also non-military purposes. The identification of submarines and fish finding are those examples. Nowadays the demand for noise identification is increasing to characterize noise sources and improve acoustic performance of underwater acoustic equipment. For that reason KRISO/KORDI recently constructed an anechoic basin which bus reflection only at the free surface. This paper suggests a noise identification methods using MUSIC algorithm in such an acoustic field. For comparison phase delay sum and minimum valiance methods are also described. At first basic principles are described. A several numerical simulations are also performed. The results say that reflection effect many cause a new non-real source although good estimation is obtained under no reflection conditions.

• Journal of Korea Multimedia Society
• /
• v.20 no.9
• /
• pp.1502-1508
• /
• 2017

A musical key is a fundamental concept in Western music theory. It is a collective characterization of pitches and chords that together create a musical perception of the entire piece. It is based on a group of pitches in a scale with which a music is constructed. Each key specifies the set of seven primary chromatic notes that are used out of the twelve possible notes. This paper presents a method that identifies the key of a song using Hidden Markov Models given a sequence of chroma features. Given an input song, a sequence of chroma features are computed. It is then classified into one of the 24 keys using a discrete Hidden Markov Models. The proposed method can help musicians and disc-jockeys in mixing a segment of tracks to create a medley. When tested on 120 songs, the success rate of the music key identification reached around 87.5%.

• The Journal of the Korea Contents Association
• /
• v.12 no.11
• /
• pp.9-19
• /
• 2012

Time-varying tempo of a song is one of the error sources for the identification of a note duration in automatic music recognition. This paper proposes an improved music transcription scheme equipped with the identification of note duration considering the time-varying tempo. In the proposed scheme the measures are found at first and the tempo, the playing time of each measure, is then estimated. The tempo is then used for resizing each IOI(Inter Onset Interval) length and considered to identify the accurate note duration, which increases the degree of correspondence to the music piece. In the experiment the proposed scheme found the accurate measure position for 14 monophonic children songs out of 16 ones recorded by men and women. Also, it achieved about 89.4% and 84.8% of the degree of matching to the original music piece for identification of note duration and pitch, respectively.

• The Journal of the Acoustical Society of Korea
• /
• v.38 no.3
• /
• pp.314-319
• /
• 2019

Computing chromagram similarity is indispensable in constructing cover song identification system. This paper proposes a code-based chromagram similarity to reduce the computational and the storage costs for cover song identification. By learning a song-specific codebook, a chromagram sequence is converted into a code sequence, which results in the reduction of the feature storage cost. We build a lookup table over the learned codebooks to compute chromagram similarity efficiently. Experiments on two music datasets were performed to compare the proposed code-based similarity with the conventional one in terms of cover song search accuracy, feature storage, and computational cost.

• Proceedings of the IEEK Conference
• /
• 2007.07a
• /
• pp.419-420
• /
• 2007

In this method, we extract peak periods using energy contents of each segment of music. This feature extraction method is equally applied on both the training and query music. Similarity matching algorithm is applied on the extracted feature values for identifying the query music from the database. The retrieval accuracy of 95% of our method is a pretty good result.

• The Journal of the Acoustical Society of Korea
• /
• v.19 no.2
• /
• pp.54-60
• /
• 2000

Acoustic source localization using MUSIC etc. utilizes the propagation model in the medium. A plane wave model is a well-known source model for the identification of distant sources in the SONAR and a monopole source model becomes the one for the identification of rather near range sources. This paper introduces a dipole source model and a tripole source model consisting of one monopole and one dipole source. The simplifying procedures provide the simplified factors rather than the superposition of the relating monopole sources. The simulations show that the tripole model is useful in the general case including pure monopole, pure dipole, or pure quadrupole source identification.

• Cross-Cultural Studies
• /
• v.23
• /
• pp.295-319
• /
• 2011

This study examines how Latinidad can be reclaimed as a site for exploring affinities of Latinos in Latin music industry, especially from the 90s. By looking at sites where Latinidad is constituted, such as the case of Jennifer $L{\acute{o}}pez$ becoming Selena, it intends to suggest that the concept can be deployed as a political bridge to connect latinos. And by examining Cuban-American artists' self identification in Latin Grammy Awards, it reveals that the latin music business definitions of Latinidad is coded differently for them as 'Caribbean' to erase a natural resonance of Cuba. In addition, by dealing with Shakira's somewhat contradictory representation of Colombianidad, the study argues that Latinidad serves as a social construct and newly emerges as a convenient interstitial place between the Latin American and the US Latino. Shakira's case serves to show how the transnational trends of latin music contribute to create a simultaneous sense of Latinidad and Colombianidad. Focusing on the commercial significance of understanding of what latino is or should be, this paper aims to interrogate current understandings of Latinidad in the realm of latin music and popular culture.

• Journal of Korean Medicine for Obesity Research
• /
• v.8 no.2
• /
• pp.15-23
• /
• 2008

The purpose of this study is to introduce oriental medicine music therapy related to the treatment of obesity. Obesity is caused by deficiency of the spleen, retention of phlegm, stagnation of liver Gi. According to the patients' state, the musical instruments should be chosen. In case of deficiency of the spleen, retention of phlegm, and stagnation of liver Gi, the obese patients beat pulsatile instruments to Earth-Gi rhythm, Fire-Gi rhythm, and Wood-Gi rhythm respectively. In addition to beating the musical instrument to the Five Phases rhythm, an oral sound therapy, relieving constraint therapy, and dispersing therapy can be performed. This study describes the theory of oriental medicine music therapy that has a good possibility as a new method of oriental medical treatment. It is necessary to study in measuring the effects after oriental medicine music therapy from now on.

• The Journal of the Acoustical Society of Korea
• /
• v.36 no.6
• /
• pp.436-441
• /
• 2017

Computing music similarity is indispensable in constructing music retrieval system. This paper focuses on the cover song search among various music-retrieval tasks. We investigate the cover song search method based on the chroma n-gram to reduce storage for feature DB and enhance search accuracy. Specifically we propose t-tab n-gram, n-gram selection method, and n-gram set comparison method. Experiments on the widely used music dataset confirmed that the proposed method improves cover song search accuracy as well as reduces feature storage.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.19 no.3
• /
• pp.294-303
• /
• 2008

ISAR(Inverse Synthetic Aperture Radar) images represent the 2-D(two-dimensional) spatial distribution of RCS (Radar Cross Section) of an object, and they can be applied to the problem of target identification. A traditional approach to ISAR imaging is to use a 2-D IFFT(Inverse Fast Fourier Transform). However, the 2-D IFFT results in low resolution ISAR images especially when the measured frequency bandwidth and angular region are limited. In order to improve the resolution capability of the Fourier transform, various high-resolution spectral estimation approaches have been applied to obtain ISAR images, such as AR(Auto Regressive), MUSIC(Multiple Signal Classification) or Modified MUSIC algorithms. In this study, these high-resolution spectral estimators as well as 2-D IFFT approach are combined with a recently developed ISAR image classification algorithm, and their performances are carefully analyzed and compared in the framework of radar target recognition.