• Title/Summary/Keyword: Music Technology

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Analysis of Music Mood Class using Folksonomy Tags (폭소노미 분위기 태그를 이용한 음악의 분위기 유형 분석)

  • Moon, Chang Bae;Kim, HyunSoo;Kim, Byeong Man
    • Science of Emotion and Sensibility
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    • v.16 no.3
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    • pp.363-372
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    • 2013
  • When retrieving music with folksonomy tags, internal use of numeric tags (AV tags: tags consisting of Arousal and Valence values ) instead of word tags can partially solve the problem posed by synonyms. However, the two predecessor tasks should be done correctly; the first task is to map word tags to their numeric tags; the second is to get numeric tags of the music pieces to be retrieved. The first task is verified through our prior study and thus, in this paper, its significance is seen for the second task. To this end, we propose the music mapping table defining the relation between AV values and music and ANOVA tests are performed for analysis. The result shows that the arousal values and valence values of music have different distributions for 12 mood tags with or without synonymy and that their type I error values are P<0.001. Consequently, it is checked that the distribution of AV values is different according to music mood.

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Metaverse business research for revitalizing the music ecosystem in the web 3.0 era: Focusing on strategies for building music platform (웹 3.0 시대 음악 생태계 활성을 위한 메타버스 비즈니스연구: 음악 플랫폼의 발전 양상 및 구축 전략을 중심으로)

  • Jiwon Kim;Yuseon Won
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.787-800
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    • 2023
  • This paper is a study aimed at facilitating a comprehensive understanding of the music metaverse platform that will emerge in the era of Web 3.0 and exploring productive strategies for its construction. We examine the significance of the metaverse music platform from various perspectives and investigate the developmental process of digital music platforms from Web 1.0 to 3.0. Subsequently, assuming the emergence of metaverse platforms as a transition to Web 3.0, we align this transition with technological(VR technology, wearable devices, generative AI), cultural(digital avatars, fandom), and economic(NFT) discussions related to Web 3.0. These discussions are integrated with the developmental strategies of the metaverse music platform. Through this study, we hope to enhance the understanding of the metaverse music platform and provide insights into potential construction strategies.

Performance Analysis of MUSIC-Based Jammer DOA Estimation Technique for a Misaligned Antenna Array

  • Park, Kwansik;Seo, Jiwon
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.1
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    • pp.7-13
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    • 2020
  • As a countermeasure against the threat of jamming which can disrupt operation of the Global Positioning System (GPS) receivers, various kinds of technique to estimate the Direction-Of-Arrivals (DOAs) of incoming jamming signals have been widely studied, and among them, the MUltiple SIgnal Classification (MUSIC) algorithm is known to provide very high resolution. However, since the previous studies regarding the MUSIC algorithm does not consider the orientation of each antenna element of antenna arrays, there is a possibility that DOA estimation performance degrades in the case of a misaligned antenna array whose antenna elements are not oriented along the same direction. As an effort to solve this problem, there exists a previous work which presents an MUSIC-based method for DOA estimation. However, the error between the real and measured values of each antenna orientation is not taken into consideration. Therefore, in this paper, the effect of the aforementioned error on the DOA estimation performance in the case of a misaligned antenna array is analyzed by simulations.

Improvement of Speech/Music Classification Based on RNN in EVS Codec for Hearing Aids (EVS 코덱에서 보청기를 위한 RNN 기반의 음성/음악 분류 성능 향상)

  • Kang, Sang-Ick;Lee, Sang Min
    • 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.

A case study of Abusing of Game Technology License - The Konami's Music Game Licence Lawsuit Approach - (게임 기술 특허 남용에 대한 사례연구 -코나미사의 음악게임 특허 소송 사례를 중심으로-)

  • Jeon, Hong Sik;Koh, Chan
    • Journal of Digital Convergence
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    • v.12 no.1
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    • pp.81-88
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    • 2014
  • The patent right is that creators are received the right of monopoly for supporting their creation work perseveringly but sometimes it causes infringement of freedom of creation. In this study, we examine the patent of music game in arcade game field and also examine Konami's, which is a main producer in this field, institutes many lawsuits repeatedly. It brought on diversion of rivals and depression of game market. We examine the abuse of music game patent through the case of Konami. We examine the negative influence through all music game market that creativity blocked by repetitive patent lawsuit institutes from little change of operation device and music game hardware even though it is reasonable for guarantee of new technology patent in game field which is a idea industry. We examine the lawsuit cases of abuse of music game patent in Korea, China and Japan and we analyze market change through the cases. We recommend policy for this industry development.

An Algorithm for Generating Suitable Accompaniment in Score-writers (사보 프로그램의 적절한 반주 생성을 위한 알고리즘)

  • Nam, Yong-Wook;Kim, Yong-Hyuk
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.3
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    • pp.31-39
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    • 2016
  • As the computer technology is developed, score-writers that can edit music have more improved functions. A user not only can insert notes, chords, and musical symbols conveniently, but also can listen to music displayed in the score. Existing commercial score-writers make scores look good and play notes through VSTi(Virtual Studio Technology instrument). However chord accompaniment function is so vulnerable that it is hard to know whether or not displayed chords are suitable for music. If a score-writer has a proper function that plays chord sound good to hear, it will be a good reference to band music sheet writers. In this paper, to improve chord playback function in existing score-writers, we propose an algorithm that selects suitable chord tones for chord playback and implemented a program. If we apply this algorithm, the chord play function of a score-writer will be strengthened and resultantly a music sheet writer who makes a band music can make scores more conveniently.

Development of a Music Score Editor based on MusicXML (MusicXML 기반의 악보 편집기 개발)

  • Khan, Najeeb Ullah;Lee, Jung-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.2
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    • pp.77-90
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    • 2014
  • In the past composers used to make music with classical instruments such as piano, violin, guitar, flute, drums, and other well-known tools. With the advent of digital technology many software programs were developed which allow musicians to compose tunes using personal computers. Many file formats were introduced such as NIFF, SMDL and MIDI but none besides MIDI has been successful. Recently MusicXML has emerged as a de-facto standard for the computer representation of music. This paper presents a brief description of the structure of the MusicXML format and describes the development of a music score editor based on MusicXML. We implemented a MusicXML-based score editing software using C# language and a feasibility test showed the efficiency of our proposed method.

Performance Improvement of Speech/Music Discrimination Based on Cepstral Distance (켑스트럼 거리 기반의 음성/음악 판별 성능 향상)

  • Park Seul-Han;Choi Mu Yeol;Kim Hyung Soon
    • MALSORI
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    • no.56
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    • pp.195-206
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    • 2005
  • Discrimination between speech and music is important in many multimedia applications. In this paper, focusing on the spectral change characteristics of speech and music, we propose a new method of speech/music discrimination based on cepstral distance. Instead of using cepstral distance between the frames with fixed interval, the minimum of cepstral distances among neighbor frames is employed to increase discriminability between fast changing music and speech. And, to prevent misclassification of speech segments including short pause into music, short pause segments are excluded from computing cepstral distance. The experimental results show that proposed method yields the error rate reduction of$68\%$, in comparison with the conventional approach using cepstral distance.

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Music Video Research of Photograph Image (사진적 이미지의 뮤직비디오 연구)

  • Kang, Hong Gue
    • The Journal of the Korea Contents Association
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    • v.16 no.2
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    • pp.251-256
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    • 2016
  • The music video was produced by the multimedia type of a video clip by adding the image to match it with the release of audio recordings. mass production. Although originally it started as a means of promoting music as mere receive attention as the main content of the music cable broadcast M-TV began mass production. The 21st century has used the technology in various fields, including animated films and live action films, documentaries smart phone era. Among attempts to analyze their work tends to center the photographer and music video director Anton Corbijin and Stephen Sednaoui representing a photographic image of a music video

Customization, Network Effect, Service Quality and Customer Loyalty : An Investigation of Music Streaming Services (고객화, 네트워크 효과, 서비스 품질 및 고객 충성도 : 음원 스트리밍 서비스를 중심으로)

  • Eum, Sangwon;Rhim, Hosun;Han, Youngmi
    • Journal of Information Technology Services
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    • v.18 no.4
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    • pp.115-134
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    • 2019
  • The global music industry has been growing steadily every year. In particular, the proportion of music streaming services in the overall market are expanding. It shows same pattern in domestic market. Also, several companies are providing music streaming services competitively. It is clear that there is growing interest in effective operations of music streaming services. In this study, we examine the impact of customization and network effect on service quality and customer loyalty. We collect survey data and analyze relationships between latent variables using structural equations modeling. We find that customization and network effect of music streaming services positively affect service quality. However, the effect of customization on customer loyalty is not significant and there is a negative effect of network effect on customer loyalty. Finally, we find that service quality works as a mediator between customization and customer loyalty, and service quality also works as a mediator between network effect and customer loyalty.