• Title/Summary/Keyword: Music Recognition

Search Result 174, Processing Time 0.027 seconds

About Ahn, Jasan's theory of Sijo (안자산의 시조론에 대하여)

  • Cho, Kyu-Ick
    • Sijohaknonchong
    • /
    • v.30
    • /
    • pp.165-188
    • /
    • 2009
  • This paper is an analysis about Ahn, Jasan's theory of Sijo. He comprehended that Korean classical poetry is not a literary genre written in letters but a music genre sung orally, because he minutely investigated old books under the situation without preconceptions. Ahn, who had a thorough knowledge on our native music or literature, had an exact recognition about Sijo. He had analyzed existence of Sijo after commenting Sijo's true nature, whenever he discuss. His attitude was possible for his recognition like that. The first step of Ahn, Jasan's theory of Sijo is source of Sijo searched for identity of Sijo. Generic source, metrics, poetical idea, and history are written well in the paper. Establishment of Sijo's poetic identity is second step's discourse about Ahn's theory of Sijo, the contents are integrated in his book Poetics of Sijo poetry. He became to discuss Sijo as a regular poetry, even in this book. Especially a minute discussion about theory of Sijo's phrase and lines was accomplished in this time, theory of metrics based on meter and rhythm was a core discussion of this time too. Although his scholarly opinions are not refined comparing to the scholars of later ages, we can say that his opinions clearly worked a role of exemplary precedent. His opinions were other scholars ahead, nevertheless he had been neglected by researchers for not belonging to major group against his will. For this reason, I think Ahn's status in history of Sijo study has to be readjusted.

  • PDF

Effects of a Song Psychotherapy Intervention on the Change Readiness of Alcoholics (알코올 중독의 변화단계를 반영한 노래심리치료가 알코올 중독자의 변화 준비도에 미치는 효과)

  • Kim, Sun Sik;Hong, Geum Na;Choi, Min Joo
    • Journal of Music and Human Behavior
    • /
    • v.11 no.2
    • /
    • pp.19-39
    • /
    • 2014
  • This study investigated whether a song psychotherapy based on the change stages of alcohol addiction impacted the change readiness of alcoholics. The song psychotherapy intervention consists of six activities (listening to a song, singing, songwriting, song sharing, lyrics analysis, and discussion and analysis of a song), which considers the change stages of alcohol addiction. A total of 64 inpatients diagnosed with alcoholism were randomly assigned to either the control (n = 33) or experimental group (n = 31). The experimental group took part in the intervention program for 45 minutes twice a week for 6 weeks (total of 12 sessions). The intervention effect was evaluated with SOCRATES-K. The results showed that the SOCRATES-K score significantly increased by 14.6% (p < .001) for the experimental group, whereas it remained almost unchanged (0.8% increase, p = .141) in the control group. For subcategory scales, the experimental group showed the highest increase in the ambivalence factor, followed by the recognition and taking-steps factors. Meanwhile, no significant changes in all three scales were found in the control group. Therefore, the song psychotherapy intervention based on the change stages of alcohol addiction was found to significantly increase the change readiness of alcoholics.

Personalized Smart Mirror using Voice Recognition (음성인식을 이용한 개인맞춤형 스마트 미러)

  • Dae-Cheol, Kang;Jong-Seok, Lim;Gil-Ho, Lee;Beom-Hee, Lee;Hyoung-Keun, Park
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.17 no.6
    • /
    • pp.1121-1128
    • /
    • 2022
  • Information about the present invention is made available for business use. You are helping to use the LCD, you can't use the LCD screen. During software configuration, Raspbian was used to provide the system environment. We made our way through the menu and made our financial through play. It provides various information such as weather, weather, apps, streamer music, and web browser search function, and it can be charged. Currently, the 'Google Assistant' will be provided through the GUI within a predetermined time.

Increase of Spoken Number of Syllables Using MIT(Melody Intonation Therapy) : Case Studies on older adult with stroke and aphasia (MIT(Melodic Intonation Therapy) 중심의 음악활동을 이용한 실어증을 가진 뇌졸중 노인의 음절 수 증가에 대한 사례 연구)

  • Hong, Do Kyoung
    • Journal of Music and Human Behavior
    • /
    • v.2 no.2
    • /
    • pp.57-67
    • /
    • 2005
  • Most of stroke patients have not only physical difficulty but speech and neurological disorder because of hemiplegia and such unexpected changes cause psychologic disadaptability and absent-mindedness. Particularly, lowering of physical ability can lead to serious emotional problem from failure or frustration in daily life. Generally, treatment of patient with stroke put emphasis on physical rehabilitation but actually this patient had considerable speech disorder such as aphasia or articulation disorder. Moreover, failing of recognition function, mental disorder as hypochondria, and even visual and auditory disorder are represented. So it is effective to integrate verbal remediation and other treatments in medical care environment. In particular, patients with language disorder very often wither psychologically therefore it is efficient to use of music therapy that gives opulent emotion to aphasia patients. And primarily to investigate the effects of 10 sessions treatments; change in spoken total number of syllables, to confirm their own value by success of given task and reassure about themselves ability. All of 10 sessions stages were scored by MIT manual and its improvement were measured, that is, accomplishment was analyzed within each level in order to prove detail change of spoken total number of syllables. The result of this program organized from 2 syllables to 4 syllables is summarized as follows. Subject A completed in preliminary stage Level I, in 2 syllables case advanced to Level III in fifth session and to Level IV in seventh session, in 3 syllables case advanced to Level III in seventh session and to Level IV in ninth session, and in 4 syllables case showed 8% low success rate in first session but after repeated practice increased considerably in sixth session and in advanced to Level III in eighth session to Level IV in tenth session. Subject B also completed in preliminary stage Level I, in 2 syllables case advanced to Level III in forth session and to Level IV in sixth session, in 3 syllables case advanced to Level III in fifth session and to Level IV in seventh session, and in 4 syllables case showed 10% low success rate in first session and increased considerably in fifth session and in advanced to Level III in seventh session but could not reach to Level IV until tenth session. As a result, it was shown that music therapy using MIT was not statistically meaningful but improved spoken total number of syllables and success rate of task had improved as a whole. Therefore, music intervention using MIT it has positive affect on verbal ability of patients with Broca's Aphasia and their language rehabilitation.

  • PDF

Music Image Recognition using Hierarchical ART2 Algorithm (Hierarchical ART2 알고리즘을 이용한 악보 영상 인식)

  • Kim, Mi-Jeong;Kim, Jae-Kun;Park, Choong-Shik;Kim, Kwang-Baek
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2008.05a
    • /
    • pp.369-374
    • /
    • 2008
  • 음악 연구에 따른 컴퓨터의 역할이 점자 중요한 비중을 차지함에 따라 보다 효과적인 악보 인식과 효율적인 악보의 편집 및 수정 방법이 요구된다. 기존의 수동 입력 방식에서는 악보를 부정확하게 입력하여 수정하는 경우에는 작업 시간이 많이 소요되며, 각 수정 프로그램에서 만든 악보는 특정 프로그램에서만 재수정이 가능하다는 단점이 있다. 본 논문에서는 이러한 단점을 보완하기 위하여 이미 작성 되어있는 악보들을 자동으로 인식하는 방법을 제안한다. 제안된 악보 인식 방법은 수평 히스토그램을 이용하여 악보 이미지의 오선을 제거한 후, 4방향 윤곽선 추적 알고리즘을 적용하여 잡음을 제거하고 Grassfire 알고리즘을 적용하여 악보 구성 기호들을 추출한다. 추출된 악보 구성 기호들은 Hierarchical ART2 알고리즘을 적용하여 인식한다. 인식된 악보구성 기초들을 이용하여 악보 구성 기호들이 속하는 마디의 위치 정보를 각각 저장하고 향후에 악보 구성 기호의 편집과 수정이 용이하게 한다. 제안된 악보 인식 방법의 성능을 평가하기 위해 100장의 악보 영상을 대상으로 실험한 결과, 제시된 Hierarchical ART2 알고리즘을 이용한 악보 영상의 인식 방법이 실험을 통해서 효율적인 것을 확인하였다.

  • PDF

Speech Enhancement for Voice commander in Car environment (차량환경에서 음성명령어기 사용을 위한 음성개선방법)

  • 백승권;한민수;남승현;이봉호;함영권
    • Journal of Broadcast Engineering
    • /
    • v.9 no.1
    • /
    • pp.9-16
    • /
    • 2004
  • In this paper, we present a speech enhancement method as a pre-processor for voice commander under car environment. For the friendly and safe use of voice commander in a running car, non-stationary audio signals such as music and non-candidate speech should be reduced. Ow technique is a two microphone-based one. It consists of two parts Blind Source Separation (BSS) and Kalman filtering. Firstly, BSS is operated as a spatial filter to deal with non-stationary signals and then car noise is reduced by kalman filtering as a temporal filter. Algorithm Performance is tested for speech recognition. And the results show that our two microphone-based technique can be a good candidate to a voice commander.

A Serious Game Design and Prototype Development for Rehabilitation using KINECT Tools (KINECT를 활용한 재활 치료용 기능성 게임 개발)

  • Chae, Young Soog
    • Journal of Korea Multimedia Society
    • /
    • v.17 no.2
    • /
    • pp.248-256
    • /
    • 2014
  • This paper designs a serious game for rehabilitation of patients with body pains because they sit down for a long time in the same position, or less physical movement. Activity-based game induces to player improvements in physical exercise with fun elements of the game through entertainment to help the body function and substantially increases the player's commitment during challenging goal. This research is a game design that combines the treatment of color and movement of body to the rhythm of the music. We constructed with XNA Game Studio and KINECT interface with gesture recognition technology. We need to research of evaluation system and test for the actual effect of the treatment and advanced functions of game playes like adding various musics and variety of motion.

The Study of Bio Emotion Cognition follow Stress Index Number by Multiplex SVM Algorithm (다중 SVM 알고리즘을 이용한 스트레스 지수에 따른 생체 감성 인식에 관한 연구)

  • Kim, Tae-Yeun;Seo, Dae-Woong;Bae, Sang-Hyun
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.5 no.1
    • /
    • pp.45-51
    • /
    • 2012
  • In this paper, it's a system which recognize the user's emotions after obtaining the biological informations(pulse sensor, blood pressure sensor, blood sugar sensor etc.) about user's bio informations through wireless sensors in accordance of previously collected informations about user's stress index and classification the Colors & Music. This system collects the inputs, saves in the database and finally, classifies emotions according to the stress quotient by using multiple SVM(Support Vector Machine) algorithm. The experiment of multiple SVM algorithm was conducted by using 2,000 data sets. The experiment has approximately 87.7% accuracy.

Automated Recognition of Printed Music using Fuzzy ART Algorithm and Performance (퍼지 ART 알고리즘을 이용한 인쇄 악보의 자동 인식과 연주)

  • Kim, Mi-Jeong;Kim, Kwang-Baek;Park, Choong-Shik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2008.10a
    • /
    • pp.410-414
    • /
    • 2008
  • 음악 연구에 따른 컴퓨터의 역할이 점차 중요한 비중을 차지함에 따라 보다 효과적인 악보 인식 방법이 요구된다. 기존의 악보 인식 방법에서는 특정 수정 프로그램에서 만든 악보만 그 프로그램에서 재수정과 재생이 가능하다는 단점이 있다. 본 논문에서는 이러한 단점을 보완하기 위하여 이미 작성 되어있는 악보들을 자동으로 인식하고 재생을 할 수 있는 방법을 제안한다. 제안된 악보 인식 방법은 수평 히스토그램을 이용하여 악보 이미지의 오선을 제거한 후, Grassfire 알고리즘을 적용하여 잡음을 제거하고 악보 구성 기호들을 추출한다. 추출된 악보 구성 기호들은 악보 구성 기호의 특징을 이용하여 음표와 쉼표, 그 외의 기호들로 분리한다. 분리된 음표 기호들은 박자마다 다른 음표 형태의 특징을 이용하여 다시 세밀하게 분리하고 쉼표와 그 외의 기호들은 퍼지 ART 알고리즘을 적용하여 인식한다. 인식된 악보 구성 기호들을 이용하여 각각 정보를 저장하고 향후에 악보 구성 기호에 해당하는 음의 재생을 용이하게 한다. 제안된 악보 인식 방법의 성능을 평가하기 위해 50장의 악보 영상을 대상으로 실험한 결과, 본 논문에서 제시한 악보 영상의 인식 방법이 실험을 통해서 효율적인 것을 확인하였다.

  • PDF

Emotional Intelligence System for Ubiquitous Smart Foreign Language Education Based on Neural Mechanism

  • Dai, Weihui;Huang, Shuang;Zhou, Xuan;Yu, Xueer;Ivanovi, Mirjana;Xu, Dongrong
    • Journal of Information Technology Applications and Management
    • /
    • v.21 no.3
    • /
    • pp.65-77
    • /
    • 2014
  • Ubiquitous learning has aroused great interest and is becoming a new way for foreign language education in today's society. However, how to increase the learners' initiative and their community cohesion is still an issue that deserves more profound research and studies. Emotional intelligence can help to detect the learner's emotional reactions online, and therefore stimulate his interest and the willingness to participate by adjusting teaching skills and creating fun experiences in learning. This is, actually the new concept of smart education. Based on the previous research, this paper concluded a neural mechanism model for analyzing the learners' emotional characteristics in ubiquitous environment, and discussed the intelligent monitoring and automatic recognition of emotions from the learners' speech signals as well as their behavior data by multi-agent system. Finally, a framework of emotional intelligence system was proposed concerning the smart foreign language education in ubiquitous learning.