• Journal of Intelligence and Information Systems
• /
• v.24 no.2
• /
• pp.21-35
• /
• 2018

Since the introduction of MP3 players, CD recordings have gradually been vanishing, and the music consuming environment of music users is shifting to mobile devices. The introduction of smart devices has increased the utilization of music through music playback, mass storage, and search functions that are integrated into smartphones and tablets. At the time of initial MP3 player supply, the bitrate of the compressed music contents generally was 128 Kbps. However, as increasing of the demand for high quality music, sound quality of 384 Kbps appeared. Recently, music content of FLAC (Free License Audio Codec) format using lossless compression method is becoming popular. The download service of many music sites in Korea has classified by unlimited download with technical protection and limited download without technical protection. Digital Rights Management (DRM) technology is used as a technical protection measure for unlimited download, but it can only be used with authenticated devices that have DRM installed. Even if music purchased by the user, it cannot be used by other devices. On the contrary, in the case of music that is limited in quantity but not technically protected, there is no way to enforce anyone who distributes it, and in the case of high quality music such as FLAC, the loss is greater. In this paper, the author proposes an audio watermarking technology for copyright protection of high quality stereo music. Two kinds of information, "Copyright" and "Copy_free", are generated by using the turbo code. The two watermarks are composed of 9 bytes (72 bits). If turbo code is applied for error correction, the amount of information to be inserted as 222 bits increases. The 222-bit watermark was expanded to 1024 bits to be robust against additional errors and finally used as a watermark to insert into stereo music. Turbo code is a way to recover raw data if the damaged amount is less than 15% even if part of the code is damaged due to attack of watermarked content. It can be extended to 1024 bits or it can find 222 bits from some damaged contents by increasing the probability, the watermark itself has made it more resistant to attack. The proposed algorithm uses quantization in DCT so that watermark can be detected efficiently and SNR can be improved when stereo music is converted into mono. As a result, on average SNR exceeded 40dB, resulting in sound quality improvements of over 10dB over traditional quantization methods. This is a very significant result because it means relatively 10 times improvement in sound quality. In addition, the sample length required for extracting the watermark can be extracted sufficiently if the length is shorter than 1 second, and the watermark can be completely extracted from music samples of less than one second in all of the MP3 compression having a bit rate of 128 Kbps. The conventional quantization method can extract the watermark with a length of only 1/10 compared to the case where the sampling of the 10-second length largely fails to extract the watermark. In this study, since the length of the watermark embedded into music is 72 bits, it provides sufficient capacity to embed necessary information for music. It is enough bits to identify the music distributed all over the world. 272 can identify $4*10^{21}$, so it can be used as an identifier and it can be used for copyright protection of high quality music service. The proposed algorithm can be used not only for high quality audio but also for development of watermarking algorithm in multimedia such as UHD (Ultra High Definition) TV and high-resolution image. In addition, with the development of digital devices, users are demanding high quality music in the music industry, and artificial intelligence assistant is coming along with high quality music and streaming service. The results of this study can be used to protect the rights of copyright holders in these industries.

• The Journal of the Korea Contents Association
• /
• v.14 no.2
• /
• pp.28-38
• /
• 2014

For western music there has been a volume of researches on music information analysis for automatic transcription or content-based music retrieval. But it is hard to find the similar research on Korean traditional music. In this paper we propose several algorithms to automatically analyze the structure of Korean traditional music 'Pansori'. The proposed algorithm automatically distinguishes between the 'sound' part and 'speech' part which are named 'sori' and 'aniri', respectively, using the ratio of phonetic and pause time intervals. For rhythm called 'jangdan' classification the algorithm makes the robust decision using the majority voting process based on template matching. Also an algorithm is suggested to detect the bar positions in the 'sori' part based on Kalman filter. Every proposed algorithm in the paper works so well enough for the sample music sources of 'Pansori' that the results may be used to automatically transcribe the 'Pansori'.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.1
• /
• pp.27-32
• /
• 2019

Research that implements the classification process through Deep Learning algorithm, one of the outstanding human abilities, includes a unimodal model, a multi-modal model, and a multi-modal method using music videos. In this study, the results were better by suggesting a system to analyze each song's spectrum into short samples and vote for the results. Among Deep Learning algorithms, CNN showed superior performance in the category of music genre compared to RNN, and improved performance when CNN and RNN were applied together. The system of voting for each CNN result by Deep Learning a short sample of music showed better results than the previous model and the model with Softmax layer added to the model performed best. The need for the explosive growth of digital media and the automatic classification of music genres in numerous streaming services is increasing. Future research will need to reduce the proportion of undifferentiated songs and develop algorithms for the last category classification of undivided songs.

• Journal of Music and Human Behavior
• /
• v.15 no.1
• /
• pp.25-49
• /
• 2018

This study examined the effects of song-based group music therapy on the exercise stress and positive psychological capital of youth soccer players. Eighty youth soccer players were assigned to either a song-based music therapy group or a control group. For the analysis of the effects of song-based group music therapy, the Exercise Stress scale and the Athlete Positive Psychological Capital scale were administered before and after the intervention. The collected data were analyzed using an independent sample t test and paired t test. The results were as follows. First, the experimental group showed a significantly lower posttest score on the exercise stress measure than the control group (p < .01). The control group showed a significant increase from pretest to posttest on the exercise stress measure (p < .05). Second, the experimental group scored significantly higher at posttest than the control group on the positive psychological capital measure (p < .01). The control group demonstrated a statistically significant decrease from pretest to posttest on the positive psychological capital scale (p < .05). The results suggest that song-based group music therapy is an effective treatment method that lowers exercise stress and raises positive psychological capital of youth soccer players.

• Journal of Digital Convergence
• /
• v.13 no.8
• /
• pp.549-558
• /
• 2015

Purpose of this study was to investigate the effect of music therapy on vital signs, anxiety, cortisol, and pain of Cataract Surgery Patients in elderly. Non equivalent control group pre-post test design was adopted. The number of subjects consists of 41 elderly having cataract surgery, 21 in the experimental group and 20 in the control group. Data were analyzed by $x^2$ test, Fisher's exact test, independent sample t-test, and Mann-Whitney U test. Results were: 1) there was no difference between two groups in their vital signs changes 2) anxiety, cortisol in the saliva, and pain of the experimental group decreased more significantly than those of the control group. This study confirmed the ability of music therapy to relieve pain and anxiety in cataract surgery, and suggested that music therapy could be used effectively in various interventions for the elderly.

• Journal of the Korea Convergence Society
• /
• v.8 no.1
• /
• pp.97-106
• /
• 2017

The purpose of this convergence study was to identify the effects of favorite music therapy on anxiety, fatigue, and vital signs of patients undergoing prostatectomy with spinal anesthesia. This study used a nonequivalent control group design. A sample of 45 patients was included. The experimental group was given music therapy during operation. The data were collected using a structured questionnaire and monitoring at 30 min before operation, at 20 min and 40min undergoing operation, and at arrival recovery room after operation. Data were analyzed using descriptive statistics, ${\chi}^2-test$, Fisher's exact test, t-test, repeated measures ANOVA. The experimental group reported significantly lower anxiety and lower fatigue than the control group(p=.001; p=.020). However there were no significant differences in the systolic blood pressure, diastolic blood pressure and pulse rate between groups(p=.821; p=.473; p=.782). This findings indicate that the tailored favorite music therapy can be an effective nursing intervention for patient undergoing prostatectomy with spinal anesthesia to reduce anxiety and fatigue related to operation.

• The Journal of the Convergence on Culture Technology
• /
• v.6 no.1
• /
• pp.419-424
• /
• 2020

This study was to examine the educational satisfaction of students majoring in music education and provided suggestions to the college of education, Korea. First of all, 152 students majoring in music education in university, Korea, were surveyed. Second, the SPSS 22 for Windows program was used to conduct technical statistical analysis: independent sample t-test, one-way variance analysis, and cross-analysis. The result was that there were significant differences in the educational satisfaction, depending on the gender, school year, career-hopping professions, and individual efforts of students. College of Education has a huge impact on society as an institution that trains pre-service teachers who will teach future students. Therefore, based on the results of the study, I hope that the college of education will serve as fundamental institutes for the training of pre-service teachers.

• 한국HCI학회:학술대회논문집
• /
• 2008.02a
• /
• pp.739-743
• /
• 2008

In this paper, we introduce a method for automatically generating accompaniment music, according to user's input melody. The initial accompaniment chord is generated by analyzing user's input melody. Then next chords are generated continuously based on markov chain probability table in which transition probabilities of each chord are defined. The probability table is learned according to reinforcement learning mechanism using sample data of existing music. Also during playing accompaniment, the probability table is learned and refined using reward values obtained in each status to improve the behavior of playing the chord in real-time. The similarity between user's input melody and each chord is calculated using pitch class histogram. Using our method, accompaniment chords harmonized with user's melody can be generated automatically in real-time.

• The Korean Journal of Community Living Science
• /
• v.21 no.1
• /
• pp.125-138
• /
• 2010

This study examined the effects of a meditation program using picture books as a method of reducing young children's aggression. Data was taken from a sample of 60 four-to five-year-old children in daycare centers. This study employed a pre/post-test controlgroup design. All children of each daycare center were assigned to an experimental group(meditation program using picture books) or control group(general music meditation program). All variables were measured by the mothers and teachers of the observed children and the collected data were analyzed by independent and paired t-test. The main results of this study are as follows. Firstly, the meditation program using picture books and general music meditation program were all effective in reducing young children's aggression (aggression against things, aggression against others, verbal aggressin and total aggression) perceived by their teachers, that is, aggression against things, aggression against others and verbal aggression. Secondly, the meditation program using picture books was more effective than general music meditation program in reducing young children's aggression perceived by teachers. Thirdly, the meditation program using picture books was effective in reducing only young children's verbal aggression perceived by their mothers.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.30 no.5C
• /
• pp.305-312
• /
• 2005

Three classification algorithms are tested using musical instruments. Several classification algorithms are introduced and among them, Bayes rule, NN and k-NN performances evaluated. ZCR, mean, variance and average peak level feature vectors are extracted from instruments sample file and used as data set to classification system. Used musical instruments are Violin, baroque violin and baroque cello. Results of experiment show that the performance of NN algorithm excels other algorithms in musical instruments classification.