• 한국멀티미디어학회논문지
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• 제20권9호
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• pp.1502-1508
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• 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%.

• 대한임베디드공학회논문지
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• 제18권5호
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• pp.217-223
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• 2023

In this paper, we propose a new model for the conditional generation of music, considering key and rhythm, fundamental elements of music. MIDI sheet music is converted into a WAV format, which is then transformed into a Mel Spectrogram using the Short-Time Fourier Transform (STFT). Using this information, key and rhythm details are classified by passing through two Convolutional Neural Networks (CNNs), and this information is again fed into the Music Transformer. The key and rhythm details are combined by differentially multiplying the weights and the embedding vectors of the MIDI events. Several experiments are conducted, including a process for determining the optimal weights. This research represents a new effort to integrate essential elements into music generation and explains the detailed structure and operating principles of the model, verifying its effects and potentials through experiments. In this study, the accuracy for rhythm classification reached 94.7%, the accuracy for key classification reached 92.1%, and the Negative Likelihood based on the weights of the embedding vector resulted in 3.01.

• 말소리와 음성과학
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• 제4권1호
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• pp.77-87
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• 2012

Interest in music recognition has been growing dramatically after NHN and Daum released their mobile applications for music recognition in 2010. Methods in music recognition based on audio analysis fall into two categories: music recognition using audio fingerprint and Query-by-Singing/Humming (QBSH). While music recognition using audio fingerprint receives music as its input, QBSH involves taking a user-hummed melody. In this paper, research trends are described for music recognition using audio fingerprint, focusing on two methods: one based on fingerprint generation using energy difference between consecutive bands and the other based on hash key generation between peak points. Details presented in the representative papers of each method are introduced.

• 디지털콘텐츠학회 논문지
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• 제18권6호
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• pp.1025-1032
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• 2017

최근 국내 대중가요 시장은 디지털 음원을 중심으로 규모가 증가하고 있다. 2012년~2016년도의 연간 음원차트 100위권의 곡을 디지털 음원과 악보를 통해 분석한 결과 연평균 BPM은 5년간 총 11.26 하락하였다. 매년 음악 스타일은 다양화 되었고, 특히 힙합의 비중이 2012년 8.5%에서 2015년 17.8%까지 2배가량 높아졌다. 댄스음악과 발라드의 선호비율은 높았으나, 둘의 관계는 반비례 형태이다. 가수 구성은 여성솔로와 남성그룹의 비율이 반비례하였다. 특히 곡의 빠르기와 장단조의 관계는 느린 템포 곡은 장조의 비율이 81.42%였고, 빠른 템포 곡은 단조가 53.85%를 차지하였다. TV드라마 OST의 경우 가수 구성에서 솔로 가수의 곡을 선호하였으며, 음악스타일은 팝이 80%를 차지하였으며, 발라드가 20%를 차지하였다.

• 한국감성과학회:학술대회논문집
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• 한국감성과학회 2009년도 춘계학술대회
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• pp.109-112
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• 2009

The purpose of this study was to examine the differences in the brain activation evoked by music arranged in major and minor key used with an identical motion film during the fMRI testing. A part of the audio-visual combinations composed by Iwamiya and Sano were used for the study stimuli. This audio- visual clip was originally developed by combining a small motion segment of the animation "The Snowman" and music arranged in both major and minor key from the original jazz music "Avalon" rewritten in a classical style. Twenty-seven Japanese male graduate and undergraduate students participated in the study. Brain regions more activated by the major key than the minor key when presented with the identical motion film were the left cerebellum, the right fusiform gyrus, the right superior occipital, the left superior orbito frontal, the right pallidum, the left precuneus, and the bilateral thalamus. On the other hand, brain regions more activated by the minor key than the major key when presented with the identical motion film were the right medial frontal, the left inferior orbito frontal, the bilateral superior parietal, the left postcentral, and the right precuneus. The study showed a difference in brain regions activated between the two different stimulus (i.e., major key and minor key) controlling for the visual aspect of the experiment. These findings imply that our brain systematically generates differently in the way it processes music written in major and minor key(Supported by the User Science Institute of Kyushu University, Japan and the Korea Science and Engineering Foundation).

• 대한음성학회:학술대회논문집
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• 대한음성학회 2000년도 7월 학술대회지
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• pp.117-134
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• 2000

Kim, Key-Seop(2000). English Restructuring and A Use of Music in Teaching English Pronunciation. JSEP 2000 voU This study has two-fold aims: one is to clarify the restructuring of English in utterance, and the other is to relate it to teaching English pronunciation for listening and speaking with a use of music and song by suggesting a model of 10-15 minute pronunciation class syllabus for every period in class. Generally, English utterances are restructured by stress-timed rhythm, irrespective of syntactic boundaries. So the rhythmic units are arranged in isochronous groups, of which the making is to attach clitic(s) to a host or head often leftwards and sometimes rightwards, which results in linking, contraction, reduction, sound change and rhythm adjustment in utterance, just as in music and song. With English restructuring focused on, a model of English pronunciation class syllabus is proposed to be put forward in class for every period of a lesson or unit. It tries to relate the focused factor(s) in pronunciation to the integrated, with teaching techniques and music made use of.

• International Journal of Advanced Culture Technology
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• 제10권4호
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• pp.277-285
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• 2022

Purpose of the study To study the effects of teaching chamber music courses on the mental health of college students in music schools. The key to the results is as follows. There was a significant difference in the total level of mental health between the experimental and control classes after the experiment. The total level of mental health of male and female college students in the experimental class had significant differences after the experiment, respectively. There was no significant difference in the ten factors of scl-90 in the control class before and after the experiment, while there was a significant difference. in the ten factors of scl-90 in the experimental class before and after the experiment. The experimental teaching of chamber music courses improves the mental health level of female college students better than male college students. We have come to understand Teaching chamber music courses can significantly improve the mental health of college students in music schools.

• Asia Marketing Journal
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• 제8권3호
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• pp.141-159
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• 2006

2004년 11월 16일 출시된 세계 최초의 유비쿼터스 음악 서비스인 SK Telecom의 멜론은 국내 음악 산업에서 새로운 비즈니스 모델로 성공을 거두었다. 멜론의 성공 배경에는 차별적인 서비스 특징 뿐만 아니라 기술적 측면과 고객 지향적 측면에서 핵심 역량을 갖추고자 한 노력이 있다. 또한, 경쟁사 대비 비교 우위의 마케팅 믹스 활동도 간과할 수 없다. 본 사례에서는 멜론이 출시되기까지의 과정과 많은 사람들이 아직까지 생소해 하는 온라인 음악 서비스에 대해 소개하고, 성공을 향한 멜론의 노력과 이를 통해 달성된 가시적 성과를 설명하였다. 그리고 지금보다 발전된 성과를 도출시키기 위해서 해결해야 할 전략적 과제를 제시하였다.

• The Journal of the Acoustical Society of Korea
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• 제24권2E호
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• pp.67-70
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• 2005

To realize a traditional music recognition system, some characteristics pertinent to Far East Asian music should be found. Using Spectrogram, some distinct attributes of Korean traditional music are surveyed. Frequency distribution, beat cycle and frequency energy intensity within samples have distinct characteristics of their own. Experiment is done for pre-experimentation to realize Korean traditional music recognition system. Using characteristics of Korean traditional music, $94.5\%$ of classification accuracy is acquired. As Korea, Japan and China have the same musical roots, both in instruments and playing style, analyzing Korean traditional music can be helpful in the understanding of Far East Asian traditional music.

• The Journal of the Acoustical Society of Korea
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• 제22권4E호
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• pp.141-149
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• 2003

As music of digital form has been widely used, many people have been interested in the automatic extraction of natural information of music itself, such as key of a music, chord progression, melody progression, tempo, etc. Although some studies have been tried, consistent and reliable results of musical information extraction had not been achieved. In this paper, we propose a method to extract chord and tempo information from general polyphonic music signals. Chord can be expressed by combination of some musical notes and those notes also consist of some frequency components individually. Thus, it is necessary to analyze the frequency components included in musical signal for the extraction of chord information. In this study, we utilize a sinusoidal modeling, which uses sinusoids corresponding to frequencies of musical tones, and show reliable chord extraction results of sinusoidal modeling. We could also find that the tempo of music, which is the one of remarkable feature of music signal, interactively supports the chord extraction idea, if used together. The proposed scheme of musical feature extraction is able to be used in many application fields, such as digital music services using queries of musical features, the operation of music database, and music players mounting chord displaying function, etc.