• Title/Summary/Keyword: Music Sample

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Structural Analysis Algorithm for Automatic Transcription 'Pansori' (판소리 자동채보를 위한 구조분석 알고리즘)

  • Ju, Young-Ho;Kim, Joon-Cheol;Seo, Kyoung-Suk;Lee, Joon-Whoan
    • The Journal of the Korea Contents Association
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    • v.14 no.2
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    • pp.28-38
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    • 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'.

Deep Learning Music genre automatic classification voting system using Softmax (소프트맥스를 이용한 딥러닝 음악장르 자동구분 투표 시스템)

  • Bae, June;Kim, Jangyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.1
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    • pp.27-32
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    • 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.

Effects of Song-Based Group Music Therapy on Exercise Stress and Positive Psychological Capital of Youth Soccer Players (노래중심 집단음악치료가 유소년 축구선수의 운동스트레스와 긍정심리자원에 미치는 영향)

  • Kim, Hee Jin;Moon, So Young
    • Journal of Music and Human Behavior
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    • v.15 no.1
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    • pp.25-49
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    • 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.

Effect of Music Therapy on Vital Signs, Anxiety, Cortisol and Pain of Cataract Surgery Patients in Elderly (음악요법이 노인백내장 수술환자의 활력징후, 불안, 코티졸 및 통증에 미치는 효과)

  • Park, Jung-Hae;Park, Kwang-Hi
    • Journal of Digital Convergence
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    • v.13 no.8
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    • pp.549-558
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    • 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.

Convergence study on Effects of Music Therapy in Patients Undergoing Prostatectomy with Spinal Anesthesia (척추마취 전립선절제술환자의 음악요법효과에 대한 융합연구)

  • Lee, Young-Eun;Kim, Ju-Sung
    • Journal of the Korea Convergence Society
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    • v.8 no.1
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    • pp.97-106
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    • 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.

A Study of Educational Satisfaction for Music Education Majors (사범대학 음악교육 전공학생들의 교육만족도 연구)

  • Park, Young Joo
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.1
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    • pp.419-424
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    • 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.

Automatic Generation of Music Accompaniment Using Reinforcement Learning (강화 학습을 통한 자동 반주 생성)

  • Kim, Na-Ri;Kwon, Ji-Yong;Yoo, Min-Joon;Lee, In-Kwon
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.739-743
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    • 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.

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The Influences of Meditation Program Using Picture Books on Reduction of Young Children's Aggression (그림책을 활용한 명상 프로그램이 유아의 공격성 감소에 미치는 영향)

  • Park, Mi-Jeong;Gwon, Gi-Nam
    • The Korean Journal of Community Living Science
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    • v.21 no.1
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    • pp.125-138
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    • 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.

Performance Comparison of Classification Algorithms in Music Recognition using Violin and Cello Sound Files (바이올린과 첼로 연주 데이터를 이용한 분류 알고리즘의 성능 비교)

  • Kim Jae Chun;Kwak Kyung sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.5C
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    • pp.305-312
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    • 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.

A Study on Reliability and Applicability of Oriental Medical Music Therapy Using (음악요법의 한의학적 활용을 위한 신뢰도 및 적용 가능성 연구)

  • Song, Min Sun;Choi, Chan Hun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.28 no.6
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    • pp.674-682
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    • 2014
  • The purpose of this study was to identify the effect of applying oriental music therapy and reliability of electroencephalogram(EEG) equipment. The study was approved by the critical trial judge committee from ${\bigcirc}{\bigcirc}$(IRB No. 2013-07) university. In order to measure test-retest reliability for 15 subjects, EEG for same participants were measured using same method mentioned above after 2 hours from the first measurement. Same provider implemented to each person at same time. Firstly, EEG was measured for 5 minutes after the subject with attached electrodes sat on chair comfortably for 10 minutes. Then, the subject was given mental stress using the four fundamental arithmetic operations for 5 minutes, and measured EEG for another 5 minutes. After that the subject sat on the chair comfortably listening oriental medicine music therapy for 5 minutes, and EEG was measured for 5 minutes again. There was no side effect regarding music therapy reported. Raw data, which was measured in each step, were converted through FFT(fast fourier transform) and analyzed after divided into certain frequency including ${\alpha}$ wave, ${\beta}$ wave, ${\theta}$ wave, immersion wave, stabilization wave, sef100 wave, and sef95 wave. Data were analyzed using wilcoxon signed rank test, Intraclass correlation coefficient(ICC), repeated measures ANOVA with the SPSS program. In test-retes method, there were significantly differences in ${\alpha}$ wave, ${\beta}$ wave, immersion wave, stability wave, ${\theta}$ wave, sef100 wave, sef95 wave. ICC has shown a high degree of reliability that it was ${\alpha}$ wave .877, ${\beta}$ wave .855, ${\gamma}$ wave .895, immersion wave .897, stability wave .816, ${\theta}$ wave .904, sef100 wave .910, sef95 wave .776. Also, there was a statistically significant difference in ${\alpha}$ wave after applying oriental music therapy. Based on these results, it is considered that average of the channel EEG and application of oriental music therapy would be practiced by increase of sample size using this machine.