• KNOM Review
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• v.21 no.2
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• pp.10-17
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• 2018

With the popularization of smart devices and the development of wireless Internet, the consumption method of music contents is changing to streaming rather than downloading. In this paper, we analyze the meta data of the music source exposed on the network traffic for the 19 music streaming services in Korea and abroad. We propose a preventive measure. As a result of analysis, we found that all of the 19 services were exposed to the metadata of the music. We propose a music and metadata protection method such as certificate fixing method to prevent exposure of such music and metadata.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.2
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• pp.143-146
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• 2017

In this paper, a novel approach is proposed to improve the performance of speech/music classification using the recurrent neural network (RNN) in the enhanced voice services (EVS) of 3GPP for hearing aids. Feature vectors applied to the RNN are selected from the relevant parameters of the EVS for efficient speech/music classification. The performance of the proposed algorithm is evaluated under various conditions and large speech/music data. The proposed algorithm yields better results compared with the conventional scheme implemented in the EVS.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.109-118
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• 2005

In this paper, we present a music retrieval system that compares the geometric structure of a melody specified by a user with those in a music database. The system finds matches between a query melody and melodies in the database by analyzing both structural and contextual features. The retrieval method is based on the geometric hashing algorithm which consists of two steps; the preprocessing step and the recognition step. During the preprocessing step, we divide a melody into several fragments and analyze the pitch and duration of each note of the fragments to find a structural feature. To find a contextual feature, we find a main chord for each fragment. During the recognition step, we divide the query melody specified by a user into several fragments and search through all fragments in the database that are structurally and contextually similar to the melody. A vote is cast for each of the fragments and the music whose total votes are the maximum is the music that contains a matching melody against the query melody. Using our approach, we can find similar melodies in a music database quickly. We can also apply the method to detect plagiarism in music.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.6
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• pp.1167-1173
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• 2005

In this paper, the use of an antenna array is considered for code timing acquisition of DS-CDMA signals. The probabilities of acquisition are evaluated by applying multiple narrow fixed-beams to the conventional MUSIC acquisition approach in the multiuser environment on the time-varying Rayleigh fading channel. Each fixed-beam for spatial filtering is dedicated to an individual angular sector that is formed by dividing the entire angular domain by the number of antenna elements. The fixed-beams with a capability of interference suppression provide the additional degrees of freedom,. Hence, the multibeam-based MUSIC estimator can be used to synchronize to more users than the conventional MUSIC algorithm for one antenna. The multibeam-based subspace method is evaluated to significantly improve the performance of a single antenna based MUSIC technique in multiuser scenarios.

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.3-14
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• 2006

Music summarization means a technique which automatically generates the most importantand representative a part or parts ill music content. The techniques of music summarization have been studied with two categories according to summary characteristics. The first one is that the repeated part is provided as music summary and the second provides the combined segments which consist of segments with different characteristics as music summary in music content In this paper, we propose and evaluate two kinds of music summarization techniques. The algorithm using multi-level vector quantization which provides a repeated part as music summary gives fixed-length music summary is evaluated by overlapping ration between hand-made repeated parts and automatically generated summary. As results, the overlapping ratios of conventional methods are 42.2% and 47.4%, but that of proposed method with fixed-length summary is 67.1%. Optimal length music summary is evaluated by the portion of overlapping between summary and repeated part which is different length according to music content and the result shows that automatically-generated summary expresses more effective part than fixed-length summary with optimal length. The cluster-based algorithm using 2-D similarity matrix and k-means algorithm provides the combined segments as music summary. In order to evaluate this algorithm, we use MOS test consisting of two questions(How many similar segments are in summarized music? How many segments are included in same structure?) and the results show good performance.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.342-353
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• 2018

The purpose of this study was to investigate the awareness of early childhood teachers for the development of early childhood education programs using background music. The subjects of this study were 272 early childhood teachers of kindergartens in Busan and Kyungnam provinces. The data were collected through questionnaires on the awareness of children's appreciation of fairy tales using background music. The collected data were analyzed by frequency and percentage using SPSS 18.0 program. The results of this study are as follows: First, the number of early childhood teachers who had experience of performing fairy tales using background music were less than half of them. Secondly, the purpose of appreciation of fairy tales using background music was to develop rich emotions. In order to understand the systematic knowledge and concept of background music, it was necessary to supply background music in various life styles. Third, development of a fairy tale appreciation program using background music was generally required. Third, development of a fairy tale appreciation program using background music was generally required. Fourth, a fairy tale appreciation program using background music is appropriate for the large group activity time of 10~20 minutes one or two times a week and it was necessary to have a concatenated structure of pre-activities, introduction methods, questioning techniques in development, finishing methods, evaluation methods, and extension activity methods.

• Journal of Digital Contents Society
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• v.11 no.1
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• pp.9-16
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• 2010

Recently, needs and interests that people want to create their digital contents in ubiquitous environment are growing fast. Among the digital contents, people are also interested in the music contents. However, it is hard to find a system which manages and shares music contents easily. The paper proposes a system that provides a composition function for music, a mixing function for music, and a function for ear training. The contributions of the paper are as follows. First, the paper provides a music management system which enables music compositions, listening function of music, searching functionalities. Second, the paper introduces a function of mixing drum sound for managing rhythms. Third, the paper provides game contents which improve senses of music. The proposed system is expected that enables users composite music in ubiquitous environment, provides rich functions for compositions, and improves senses of music.

• Journal of Music and Human Behavior
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• v.3 no.1
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• pp.29-62
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• 2006

The early development of an infant is crucial due to the enormous impact it has throughout an infant's life. Therefore, it is important to understand the development process of an infant and provide a high-quality educational environment so that an infant can progress at an innate pace to learn how to exercise, understand, speak, socialize, and empathize as well as having a balanced growth. When educating an infant, joy is a substantial factor in the formation of trust and development of relationship that makes education efficient. Music can be an effective means to offer a fun atmosphere vto the infant in which it stimulates active participation of the infant and development of a variety of dimensions to the infant's development. Also, the purpose of music therapy education is utilizes to plan for the different age groups' level of understanding of music and allow the infant to have a positive experience and develop properly. The purposes of this study are as following: to examine characteristics according to an infant' developmental steps thoroughly, to suggest interventions using music therapy education to stimulate development of an infant, to prove that infants age 3 to 6 obtain the necessary ability and skill through the effective educational therapy through music, and finally to create a music program for educating infants or music therapy. This study has examined theories of the music approach targeting infants age 3 to 6 and made character observations of infant' Motor, Cognition, Communication, Socialization, and Emotions. With the basis of the above theory, the different levels of development has been divided, specific goals has been set up according to the levels, and various music therapy education for infants have been created. The music therapy education activity has been approved by five professionals who are renown in their specific field. They made comments that the development levels were properly divided in the paper. They also commented that the music program is adequate for achieving the goal of each developmental level and it stimulates the different levels of an infant's development. In conclusion, the study reflects that the approach of music therapy education stimulates the different levels of infant development. Music therapists can utilize this music program to help handicapped children identify characteristics of progress and develop at their own ability.

• Journal of Broadcast Engineering
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• v.24 no.6
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• pp.1024-1034
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• 2019

Preference for music is determined by a variety of factors, and identifying characteristics that reflect specific factors is important for music recommendations. In this paper, we propose a method to extract the singing voice related music features reflecting various musical characteristics by using a model learned for singer identification. The model can be trained using a music source containing a background accompaniment, but it may provide degraded singer identification performance. In order to mitigate this problem, this study performs a preliminary work to separate the background accompaniment, and creates a data set composed of separated vocals by using the proven model structure that appeared in SiSEC, Signal Separation and Evaluation Campaign. Finally, we use the separated vocals to discover the singing voice related music features that reflect the singer's voice. We compare the effects of source separation against existing methods that use music source without source separation.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.05a
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• pp.1003-1008
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• 2001

In beamforming method, source positions are predicted by MUSIC (Multiple Signal Classification) power method and composite sound fields can then be decomposed into each partial field by beamforming, detenninistically without restriction of the distance between reference microphones and sources. However, reference microphone array shape is important in both MUSIC and beamforming method. Thus the present paper describes the effect of the reference microphone array shape.