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Journal articles on the topic 'Electrical music instrument'

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1

Schwabe, Markus, and Michael Heizmann. "Influence of input data representations for time-dependent instrument recognition." tm - Technisches Messen 88, no. 5 (2021): 274–81. http://dx.doi.org/10.1515/teme-2020-0100.

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Abstract An important preprocessing step for several music signal processing algorithms is the estimation of playing instruments in music recordings. To this aim, time-dependent instrument recognition is realized by a neural network with residual blocks in this approach. Since music signal processing tasks use diverse time-frequency representations as input matrices, the influence of different input representations for instrument recognition is analyzed in this work. Three-dimensional inputs of short-time Fourier transform (STFT) magnitudes and an additional time-frequency representation based
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2

Raharja, Budi. "Musik Iringan Drama Tari Pengembaraan Panji Inukertapati Bermisi Perdamaian dan Toleransi." Resital: Jurnal Seni Pertunjukan 20, no. 1 (2019): 13–23. http://dx.doi.org/10.24821/resital.v20i1.3459.

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Tujuan penulisan ini untuk mendeskripsikan musik iringan drama tari berjudul “Pengembaraan Panji Inukertapati Bermisi Perdamaian dan Toleransi.” Drama tari tersebut mengisahkan perjalanan Panji Inukertapati menjelajahi beberapa wilayah Nusantara mencari kekasihnya, Dewi Sekartaji. Pembahasan fokus terhadap dinamika pertunjukan, alasan pemilihan bunyi atau lagu, dan hubungan musik dengan gerak tari. Metode interview, observasi, studi literatur, dan studi dokumen digunakanuntuk pengumpulan datanya. Hasil kesimpulan diketahui bahwa musik iringan drama tari tersebut terdiri atas bunyi Dijerido, bu
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Schwabe, Markus, Omar Elaiashy, and Fernando Puente León. "Incorporation of phase information for improved time-dependent instrument recognition." tm - Technisches Messen 87, s1 (2020): s62—s67. http://dx.doi.org/10.1515/teme-2020-0031.

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AbstractTime-dependent estimation of playing instruments in music recordings is an important preprocessing for several music signal processing algorithms. In this approach, instrument recognition is realized by neural networks with a two-dimensional input of short-time Fourier transform (STFT) magnitudes and a time-frequency representation based on phase information. The modified group delay (MODGD) function and the product spectrum (PS), which is based on MODGD, are analysed as phase representations. Training and evaluation processes are executed based on the MusicNet dataset. By the incorpor
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Grindlay, Graham, and Daniel P. W. Ellis. "Transcribing Multi-Instrument Polyphonic Music With Hierarchical Eigeninstruments." IEEE Journal of Selected Topics in Signal Processing 5, no. 6 (2011): 1159–69. http://dx.doi.org/10.1109/jstsp.2011.2162395.

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5

Essid, S., G. Richard, and B. David. "Instrument recognition in polyphonic music based on automatic taxonomies." IEEE Transactions on Audio, Speech and Language Processing 14, no. 1 (2006): 68–80. http://dx.doi.org/10.1109/tsa.2005.860351.

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6

Leveau, Pierre, Emmanuel Vincent, GaËl Richard, and Laurent Daudet. "Instrument-Specific Harmonic Atoms for Mid-Level Music Representation." IEEE Transactions on Audio, Speech, and Language Processing 16, no. 1 (2008): 116–28. http://dx.doi.org/10.1109/tasl.2007.910786.

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7

Wilson, Daniel. "“Electric Music” on the Victorian Stage: The Forgotten Work of J.B. Schalkenbach." Leonardo Music Journal 23 (December 2013): 79–85. http://dx.doi.org/10.1162/lmj_a_00160.

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This paper provides an overview of electrical pre-loudspeaker sound art in Victorian music halls, focusing on key figures, including one of the first female performers of an electrical musical instrument. Control of “acoustic incidents” separate from the artiste and the employment of artful presentation to create an aesthetic edifice—prerequisites of sound art—are apparent in the entertainments examined here. It is shown that the issues of today's sound art (in reconciling science with art, the coveting of the “active principle,” etc.) were also a concern in these early sound art ventures.
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Casazza, Marco, Fabrizio Barone, Elvio Bonisoli, et al. "A procedure for the characterization of a music instrument vibro-acoustic fingerprint: the case of a contemporary violin." Acta IMEKO 12, no. 3 (2023): 1–6. http://dx.doi.org/10.21014/actaimeko.v12i3.1445.

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Violins are wooden musical instruments, whose quality is mainly evaluated on the basis of their aesthetics, as well as depending on the historical relevance of their makers. However, their acoustic quality remains a key evaluation parameter for performers and listeners. The instrument perceived quality, in turn, depends on one side, on the player, the environmental conditions and on the listeners’ psychoacoustic factors. On the other side, the quality of a violin depends on its materials, constructive and set-up parameters, that impact on the vibro-acoustical characteristics of the instrument.
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9

Kostek, B. "Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques." Proceedings of the IEEE 92, no. 4 (2004): 712–29. http://dx.doi.org/10.1109/jproc.2004.825903.

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10

Wang, Zhuo, Zhenjiang Zhao, and Lujia Wei. "Correlation Analysis between Cultural Differences and Normal Music Perception Based on Embedded Voice Multisensor." Journal of Sensors 2022 (January 10, 2022): 1–9. http://dx.doi.org/10.1155/2022/9248820.

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In order to effectively improve the sense of difference brought by the extracorporeal machine to users and minimize the related derived problems, the implementation based on embedded multisensor has become a major breakthrough in the research of cochlear implant. To explore the impact of different cultural differences on timbre perception, effectively evaluate the correlation between cultural differences and music perception teaching based on embedded multisensor normal hearing, evaluate the discrimination ability of embedded multisensor normal hearing to music timbre, and analyse the correlat
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11

Enkhbat, Avirmed, Timothy K. Shih, and Pimpa Cheewaprakobkit. "Human Action Recognition and Note Recognition: A Deep Learning Approach Using STA-GCN." Sensors 24, no. 8 (2024): 2519. http://dx.doi.org/10.3390/s24082519.

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Human action recognition (HAR) is growing in machine learning with a wide range of applications. One challenging aspect of HAR is recognizing human actions while playing music, further complicated by the need to recognize the musical notes being played. This paper proposes a deep learning-based method for simultaneous HAR and musical note recognition in music performances. We conducted experiments on Morin khuur performances, a traditional Mongolian instrument. The proposed method consists of two stages. First, we created a new dataset of Morin khuur performances. We used motion capture system
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Han, Yoonchang, Jaehun Kim, and Kyogu Lee. "Deep Convolutional Neural Networks for Predominant Instrument Recognition in Polyphonic Music." IEEE/ACM Transactions on Audio, Speech, and Language Processing 25, no. 1 (2017): 208–21. http://dx.doi.org/10.1109/taslp.2016.2632307.

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13

Wu, Yu-Te, Berlin Chen, and Li Su. "Multi-Instrument Automatic Music Transcription With Self-Attention-Based Instance Segmentation." IEEE/ACM Transactions on Audio, Speech, and Language Processing 28 (2020): 2796–809. http://dx.doi.org/10.1109/taslp.2020.3030482.

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14

Carabias-Orti, J. J., F. J. Rodriguez-Serrano, P. Vera-Candeas, F. J. Cañadas-Quesada, and N. Ruiz-Reyes. "Constrained non-negative sparse coding using learnt instrument templates for realtime music transcription." Engineering Applications of Artificial Intelligence 26, no. 7 (2013): 1671–80. http://dx.doi.org/10.1016/j.engappai.2013.03.010.

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15

Lee, Hye-Ryeong, and Min-Jung Lim. "A Study on Young Children’s Music Activities Using Musical Instruments: From the Perspective of Deleuze's Concepts of Encounter and Becoming." Korean Society for Critical Inquiry of Childhood Education 14, no. 1 (2024): 1–17. http://dx.doi.org/10.26834/ksycbc.2024.14.1.1.

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The purpose of this study is to examine the musical experience of young children from the perspective of Deleuze's philosophy and to understand the events and meanings generated from the encounters between young children and musical instruments. To this end, 10 children aged 3-5 in a mixed class of a daycare center were observed participating in special music activities for about 4 months, and as a kind of post-qualitative research method, Deleuze's philosophical concepts were used for analyzing the data generated. As a result of the study, young children created new meanings through various s
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Wexler, David, Joanne Yip, Ka-Po Lee, Xiaolu Li, and Yiu-Hong Wong. "A Touch on Musical Innovation: Exploring Wearables and Their Impact on New Interfaces for Musical Expression." Sensors 24, no. 1 (2023): 250. http://dx.doi.org/10.3390/s24010250.

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This paper explores the innovative concept of using wearable technologies as a medium for musical expression. Special emphasis is placed on a unique wearable device equipped with motion, touch, and acceleration sensors, which can be used as a wrist strap, hand strap, or surface drum pad. The aim is to create a new musical instrument that simplifies music learning and expression and makes them more intuitive. The wearable device contains 32 individual touch-sensitive pressure sensors, a nine-axis inertial-measurement-unit motion sensor, and various light-emitting diode and vibrational haptic-fe
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Vande Veire, Len, Cedric De Boom, and Tijl De Bie. "Sigmoidal NMFD: Convolutional NMF with Saturating Activations for Drum Mixture Decomposition." Electronics 10, no. 3 (2021): 284. http://dx.doi.org/10.3390/electronics10030284.

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In many types of music, percussion plays an essential role to establish the rhythm and the groove of the music. Algorithms that can decompose the percussive signal into its constituent components would therefore be very useful, as they would enable many analytical and creative applications. This paper describes a method for the unsupervised decomposition of percussive recordings, building on the non-negative matrix factor deconvolution (NMFD) algorithm. Given a percussive music recording, NMFD discovers a dictionary of time-varying spectral templates and corresponding activation functions, rep
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18

Zheng, YunDan, Tian Tian, and Ai Zhang. "Training Strategy of Music Expression in Piano Teaching and Performance by Intelligent Multimedia Technology." International Transactions on Electrical Energy Systems 2022 (August 29, 2022): 1–14. http://dx.doi.org/10.1155/2022/7266492.

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Teaching using a multimedia technology in the 21 s t century affords the possibility of developing novel instructional strategies and paves the way for the all-around extension of musical educational functions. The importance of multimedia teaching technology in piano instruction has started to emerge in our country and society due to the ongoing development of this kind of technology in music educational institutions here. The conventional method of teaching piano has several drawbacks that may be mitigated by using one of the several alternative methods of instruction for the instrument, esp
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19

Wrzeciono, Piotr. "Pattern Recognition in Music on the Example of Reconstruction of Chest Organ from Kamień Pomorski." Sensors 21, no. 12 (2021): 4163. http://dx.doi.org/10.3390/s21124163.

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The chest organ, which gained popularity at the beginning of the 17th century, is a small pipe organ the size of a large box. Several years ago, while compiling an inventory, a previously unidentified chest organ was discovered at St. John the Baptist’s Co-Cathedral in Kamień Pomorski. Regrettably, the instrument did not possess any of its original pipes. What remained, however, was an image of the front pipes preserved on the chest door. The main issue involved in the reconstruction of a historic instrument is the restoration of its original tuning (temperament). Additionally, it is important
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20

Hao, Jianhong. "Optimizing the Design of a Vocal Teaching Platform Based on Big Data Feature Analysis of the Audio Spectrum." Wireless Communications and Mobile Computing 2022 (May 9, 2022): 1–9. http://dx.doi.org/10.1155/2022/9972223.

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With the development of electronics and communication technology, digital audio processing technologies such as digital audio broadcasting and multimedia communication have been widely used in society, and their influence on people’s lives has become increasingly profound. At present, the real-time and accuracy of musical instrument tuners on the market need to be improved, which hinders the design of vocal music teaching system. Based on the BP neural network algorithm and fast Fourier transform algorithm in FPGA, this paper designs a real-time and efficient audio spectrum analysis system, wh
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21

Dwi Saputro, Sigit, Naelur Rohmah, and Setyo Admoko. "The Practicality of Cognitive Conflict Digital Module (CCDM) in Electrical Materials for Students." SHS Web of Conferences 205 (2024): 07006. https://doi.org/10.1051/shsconf/202420507006.

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Electrical matari requires reasoning skills to accelerate the understanding of concepts. The conflict cognitive strategy has proven to be effective in helping to understand the concept. This study aims to test the practicality of the Conflict Cognitive Digital Module (CCDM) as a learning medium on electrical materials applied in desktop applications. This research method uses descriptive quantitative techniques. The subjects of this study are 23 students of the informatics education study program. The research instrument used a practicality questionnaire with 3 indicators of application perfor
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22

S. T. Patil, Et al. "Classification of Classical Indian Music Tabla Taals using Deep Learning." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 3227–32. http://dx.doi.org/10.17762/ijritcc.v11i9.9513.

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In the research that we are bringing to light, we profoundly explore the categorization of Classical Indian Music Tabla Taals. This emphasizes widely recognized taals such as Addhatrital, Ektal, Rupak, Dadra, Deepchandi, Jhaptal, Trital, and Bhajani. To push the boundaries of our understanding, we implement a mixed-methods approach tethering both Feedforward Neural Networks (FNN) and Convolutional Neural Networks (CNN). These state-of-the-art technologies enable us to dissect and categorize tabla taals efficiently. In essence, the hallmark of Classical Indian music is its complex and multiface
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23

Demirci Özay, Ayça, and Selçuk Bilgin. "MÜZİK ÖĞRETMENLİĞİ MESLEĞİNDE KULLANILABİLİR ÇALGI ÖZELLİKLERİ VE MESLEKİ ÇALGI OLARAK ELEKTROGİTAR ÖNERİSİ." e-Journal of New World Sciences Academy 12, no. 1 (2017): 37–51. http://dx.doi.org/10.12739/nwsa.2017.12.1.d0188.

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Chang, Xunyun, and Liangqing Peng. "Evaluation Strategy of the Piano Performance by the Deep Learning Long Short-Term Memory Network." Wireless Communications and Mobile Computing 2022 (June 26, 2022): 1–10. http://dx.doi.org/10.1155/2022/6727429.

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With the development of society and the progress of technology, the piano education industry has a large market. In view of the problem of high payment fees in the piano education industry, the scientific and automatic nature of piano performance evaluation has attracted people’s attention. However, since most of the piano performance evaluation schemes are based on rules, the continuity of the piano music and the accuracy of playing are ignored. Therefore, the purpose is to design a scientific piano performance evaluation scheme that can play a certain role in the sustainable development of t
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Huang, Nansong, and Xiangxiang Ding. "Piano Music Teaching under the Background of Artificial Intelligence." Wireless Communications and Mobile Computing 2022 (January 24, 2022): 1–13. http://dx.doi.org/10.1155/2022/5816453.

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The work is aimed at solving the problems of easy trapping into local extremes and slow convergence speed of the traditional music teaching evaluation system on Backpropagation Neural Network (BPNN). The traditional note recognition methods are susceptible to high noise complexity. Firstly, the Levenberg Marquardt (LM) algorithm is used to optimize the BPNN; secondly, an improved endpoint detection algorithm is proposed by short-term energy difference, which can accurately identify the time value of each note in the piano playing audio. By the traditional frequency domain analysis method, a ra
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Wicaksono, Agung Rizaldi, Joko Subur, and Muhammad Taufiqurrohman. "Design and Development of an Automatic Angklung Robot Based on Microcontroller." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 7, no. 2 (2023): 107–28. http://dx.doi.org/10.21070/jeeeu.v7i2.1669.

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The angklung is a traditional musical instrument from West Java, Indonesia. It can be played both individually and in groups. Playing the angklung requires precision in terms of tempo, rhythm, pitch, and beats to ensure that the music aligns with the intended song and is enjoyable to listen to. Therefore, not everyone can play the angklung, as it demands skill to achieve the right tempo, pitch, rhythm, and beats. To address this issue, a solution was developed, which involved creating a system and device capable of playing the angklung automatically. In this research, a system was designed to
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Kim, Chi-jung, and Hyun-dong Son. "Effects of Music Counseling Program on Elementary School Students' Self-expression." Korean Education and Counseling Association 4, no. 2 (2023): 21–34. http://dx.doi.org/10.58171/jec.2023.4.2.21.

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The purpose of this study is to examine the effect of a music counseling program on the self-expression of elementary school students. One of the three fifth grade classes of D Elementary School in Y-gun, Jeollanam-do (a total of 23 students, 9 males and 14 females) was selected as the experimental group, and the other homogeneous class (a total of 22 students, 9 males and 13 females) was selected as the control group. The self-expression test was used as the test instrument. The experimental group received a total of 10 sessions of the music counseling program, while the control group receive
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28

Quiñones Huatangari, Lenin, María Alina Cueva Ríos, and Rafaela Teodosia Huerta Camones. "Segmenting the eating behaviour of university students using the K-means algorithm." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2363–71. http://dx.doi.org/10.11591/beei.v12i4.4543.

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Universities that teach arts education do not only teach how to play an instrument or conduct musical ensembles; they are agents of change in eating behaviour for the praxis of teaching and dissemination of healthy education. The objective of the research was to segment the eating behaviour of students of the artistic education-music speciality of the National University of Education "Enrique Guzmán y Valle" by applying the K-means algorithm. To do this, the methodology consisted of understanding the problem, understanding the data collected, preparing the data, modelling and evaluating the mo
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Quiñones Huatangari, Lenin, María Alina Cueva Ríos, and Rafaela Teodosia Huerta Camones. "Segmenting the eating behaviour of university students using the K-means algorithm." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2363–71. http://dx.doi.org/10.11591/eei.v12i4.4543.

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Universities that teach arts education do not only teach how to play an instrument or conduct musical ensembles; they are agents of change in eating behaviour for the praxis of teaching and dissemination of healthy education. The objective of the research was to segment the eating behaviour of students of the artistic education-music speciality of the National University of Education "Enrique Guzmán y Valle" by applying the K-means algorithm. To do this, the methodology consisted of understanding the problem, understanding the data collected, preparing the data, modelling and evaluating the mo
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Barthakur, Spandan Kumar, Parismita Sarma, and Gaurav Narayan Baruah. "Acoustic Feature Identification to Recognize Rag Present in Borgit." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 182–93. http://dx.doi.org/10.17762/ijritcc.v11i7.7844.

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In the world of Indian classical music, raga recognition is a crucial undertaking. Due to its particular sound qualities, the traditional wind instrument known as the borgit presents special difficulties for automatic raga recognition. In this research, we investigate the use of auditory feature identification methods to create a reliable raga recognition system for Borgit performances. Each of the Borgits, the devotional song of Assam is enriched with rag and each rag has unique melodious tune. This paper has carried out few experiments on the audio samples of rags and a few Borgits sung with
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Kang, Sangbum. "Reinterpretation of Hunminjeongeum Haeryebon From The Perspective Of King Sejong: A Musical Consideration Considering Traditional 5-Note Scale ; “Gung-Sang-Gak-Chi-Wu”." Barun Academy of History 18 (February 29, 2024): 257–302. http://dx.doi.org/10.55793/jkhc.2024.18.257.

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Hunminjeongeum[Korean alphabet published by King Sejong in September 1446, meaning : the proper sound for the instruction of the people] is a very creative character in human history, but there is a lot of controversy over the creation principle of Hunminjeongeum because the Neo-Confucian interpretation of 『Hunminjeongeum Haeryebon』[An explanatory booklet on how Korean alphabet was created based on what principles] is not clear in sound. It is even known that the creator of Hunminjeongeum was not King Sejong, and Hunminjeongeum is regarded as a character that imitates Sanskrit or Phags-pa char
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Prentiss, Sandra M., David R. Friedland, John J. Nash, and Christina L. Runge. "Differences in Perception of Musical Stimuli among Acoustic, Electric, and Combined Modality Listeners." Journal of the American Academy of Audiology 26, no. 05 (2015): 494–501. http://dx.doi.org/10.3766/jaaa.14098.

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Background: Cochlear implants have shown vast improvements in speech understanding for those with severe to profound hearing loss; however, music perception remains a challenge for electric hearing. It is unclear whether the difficulties arise from limitations of sound processing, the nature of a damaged auditory system, or a combination of both. Purpose: To examine music perception performance with different acoustic and electric hearing configurations. Research Design: Chord discrimination and timbre perception were tested in subjects representing four daily-use listening configurations: uni
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Dr., Snehal D. Shembekar. "Influence of Technology on Indian Musical Instruments." International Journal of Advance and Applied Research 10, no. 5 (2023): 197–200. https://doi.org/10.5281/zenodo.8119895.

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In Indian music, there is a rich and extensive range of musical instruments, used both in the art music and in the folk music. Earlier man used percussion instruments to accompany dance and to serve primitive ritual. The most primitive drums were made up of wood and the skins of animals like lizards, snakes and fish etc., however with the arrival of ceramics, wooden shell gave way to a clay vessel, and hands are replaced by sticks. Sticks and the skins of aquatic animals changed to huge cattle. The laya vadyas or the rhythm instruments are the earliest musical instruments in the history of man
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Barry, Robert. "BBC Radio 3 Open Ear: EXAUDI Vocal Ensemble, We Spoke & Gwen Rouger LSO St Luke's, London." Tempo 72, no. 286 (2018): 81–82. http://dx.doi.org/10.1017/s0040298218000426.

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Simon Løffler's b presents to its audience an immediate question: where are the instruments? Three players sit on straight-backed chairs, joined by a daisy-chain of cables and guitar stomp boxes. The score directs a choreography of foot switching, demanding extraordinary pedal dexterity. Sounds pass down the line, modulated by distortion and equaliser effects, before bursting out of the PA in a series of abrupt electrical barks. But at the other end of the line there is nothing but an unplugged jack, held aloft, inserted nowhere but the open air.
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Strickland, Eliza. "Music for aliens: Jonathon keats creates instruments for nonhuman senses - [Resources_Geeklife]." IEEE Spectrum 55, no. 9 (2018): 20. http://dx.doi.org/10.1109/mspec.2018.8449040.

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KATO, MITSUMI. "New prospects of music brought about by Computers. Silent Musical Instruments and Their Technology." Journal of the Institute of Electrical Engineers of Japan 120, no. 1 (2000): 16–19. http://dx.doi.org/10.1541/ieejjournal.120.16.

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RODET, XAVIER. "SOUND AND MUSIC FROM CHUA'S CIRCUIT." Journal of Circuits, Systems and Computers 03, no. 01 (1993): 49–61. http://dx.doi.org/10.1142/s0218126693000058.

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Nonlinear Dynamics have been very inspiring for musicians, but have rarely been considered specifically for sound synthesis. We discuss here the signals produced by Chua's circuit from an acoustical and musical point of view. We have designed a real-time simulation of Chua's circuit on a digital workstation allowing for easy experimentation with the properties and behaviors of the circuit and of the sounds. A surprisingly rich and novel family of musical sounds has been obtained. The audification of the local properties of the parameter space allows for easy determination of very complex struc
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Nunes, Jade Barbosa, and Tiago Destéffani Admiral. "Use of Arduino and flute in teaching waves in a high school class." Brazilian Journal of Science 3, no. 2 (2024): 33–44. http://dx.doi.org/10.14295/bjs.v3i2.469.

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This work aims to use music as a teaching tool and, alongside it, utilize Arduino as a device to verify the components to be studied. The theoretical framework to be used is based on the Potentially Meaningful Teaching Units, UEPS approach, allowing for the construction of meaningful learning for students through problem-solving situations. A didactic sequence was developed for the study of the theme of sound waves and their components at the high school level. This sequence was applied over a period of four weeks, including an initial presentation of topics related to waves, the construction
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Hernandez-Olivan, Carlos, Ignacio Zay Pinilla, Carlos Hernandez-Lopez, and Jose R. Beltran. "A Comparison of Deep Learning Methods for Timbre Analysis in Polyphonic Automatic Music Transcription." Electronics 10, no. 7 (2021): 810. http://dx.doi.org/10.3390/electronics10070810.

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Automatic music transcription (AMT) is a critical problem in the field of music information retrieval (MIR). When AMT is faced with deep neural networks, the variety of timbres of different instruments can be an issue that has not been studied in depth yet. The goal of this work is to address AMT transcription by analyzing how timbre affect monophonic transcription in a first approach based on the CREPE neural network and then to improve the results by performing polyphonic music transcription with different timbres with a second approach based on the Deep Salience model that performs polyphon
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Setyo, Ciara, and Gede Putra Kusuma. "Recognition of music symbol notation using convolutional neural network." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 2055. http://dx.doi.org/10.11591/ijece.v14i2.pp2055-2067.

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Musical notation is one thing that needs to be learned to play music. This notation has an important role in music because it can help in visualizing instructions for playing musical instruments and singing. Unfortunately, musical symbols that are commonly written in musical notation are difficult for beginners who have just started learning music. This research proposed a solution to create an optical music recognition (OMR) using a deep learning model to classify musical notes more accurately with some of the latest convolutional neural network (CNN) architectures. The research was carried o
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Athanas, Myriam, and Brian Wesolowski. "Examining the Quality of Pre-Service Teachers' Verbal Feedback in the Context of Secondary-Level Instrumental Music Instruction." Research Perspectives in Music Education 23, no. 1 (2023): 63–90. http://dx.doi.org/10.55814/6d83f93e.

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42

Remache-Vinueza, Byron, Andrés Trujillo-León, Mireya Zapata, Fabián Sarmiento-Ortiz, and Fernando Vidal-Verdú. "Audio-Tactile Rendering: A Review on Technology and Methods to Convey Musical Information through the Sense of Touch." Sensors 21, no. 19 (2021): 6575. http://dx.doi.org/10.3390/s21196575.

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Tactile rendering has been implemented in digital musical instruments (DMIs) to offer the musician haptic feedback that enhances his/her music playing experience. Recently, this implementation has expanded to the development of sensory substitution systems known as haptic music players (HMPs) to give the opportunity of experiencing music through touch to the hearing impaired. These devices may also be conceived as vibrotactile music players to enrich music listening activities. In this review, technology and methods to render musical information by means of vibrotactile stimuli are systematica
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43

Noh, Yebin, and SungKyoo Hong. "Research on the Characteristics of Colombian Folk Music as Portrayed in Disney's Animation ‘Encanto’: Centered on Vallenato Music." Korean Society of Culture and Convergence 45, no. 11 (2023): 397–410. http://dx.doi.org/10.33645/cnc.2023.11.45.11.397.

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This study examined the cultural and folk music characteristics of Colombia as portrayed in Disney's animated film “En-canto”. It focused on the analysis of prominent songs that prominently feature the characteristics of Vallenato, a Colombian folk music genre, such as “The Family Madrigal” and “Colombia Mi En-canto”. Specifically, the study analyzed the utilization of traditional musical instruments in the Vallenato ensemble, musical elements, as well as rhythm and melody. Furthermore, it explored how Colombian folk music elements and contemporary musical elements are integrated within the mu
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MIEDA, FUMIO. "New prospects of music brought about by Computers. Technological Background of Electronic Musical Instruments and Their Applications." Journal of the Institute of Electrical Engineers of Japan 120, no. 1 (2000): 12–15. http://dx.doi.org/10.1541/ieejjournal.120.12.

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Fan, Yangjie. "Internet of Things Remote Piano Information Teaching System and Its Control Method." Journal of Sensors 2022 (August 8, 2022): 1–6. http://dx.doi.org/10.1155/2022/4730550.

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In order to change the current piano teaching mode and develop towards digitalization, this paper puts forward the Internet of Things remote piano information teaching system. The digital electric piano teaching system is controlled by multimedia computer. It is a kind of music teaching form composed of electric piano and other electronic keyboard instruments, music auxiliary teaching system, and music production software. It integrates viewing, listening, and practicing and changes the traditional one-to-one teaching mode. Its core structure adopts professional audio processing chip and proce
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Barone, Fabrizio, Marco Casazza, and Rocco Romano. "Vibroacoustic heritage monitoring with a standalone system." Acta IMEKO 12, no. 3 (2023): 1–6. http://dx.doi.org/10.21014/actaimeko.v12i3.1472.

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This paper describes the results of the preliminary application tests for a stand-alone prototype data acquisition system. The system was developed for monitoring and characterizing the vibroacoustic landscape and, in particular, the vibroacoustic heritage, such as music instruments, performing spaces and areas of historical relevance. The tests, performed on a building in the historical center of Napoli, show a possible interconnection between acoustic and displacement signals, as external forcing of the monitored structure, with exchange of the cause-and-effect roles, especially at low frequ
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Dannenberg, Roger B., Jorge Sastre, Stefano Scarani, Nuria Lloret, and Elizabeth Carrascosa. "Mobile Devices and Sensors for an Educational Multimedia Opera Project." Sensors 23, no. 9 (2023): 4378. http://dx.doi.org/10.3390/s23094378.

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Interactive computer-based music systems form a rich area for the exploration of collaborative systems where sensors play an active role and are important to the design process. The Soundcool system is a collaborative and educational system for sound and music creation as well as multimedia scenographic projects, allowing students to produce and modify sounds and images with sensors, smartphones and tablets in real time. As a real-time collaborative performance system, each performance is a unique creation. In a comprehensive educational project, Soundcool is used to extend the sounds of tradi
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Gao, Yongwei, Xulong Zhang, and Wei Li. "Vocal Melody Extraction via HRNet-Based Singing Voice Separation and Encoder-Decoder-Based F0 Estimation." Electronics 10, no. 3 (2021): 298. http://dx.doi.org/10.3390/electronics10030298.

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Vocal melody extraction is an important and challenging task in music information retrieval. One main difficulty is that, most of the time, various instruments and singing voices are mixed according to harmonic structure, making it hard to identify the fundamental frequency (F0) of a singing voice. Therefore, reducing the interference of accompaniment is beneficial to pitch estimation of the singing voice. In this paper, we first adopted a high-resolution network (HRNet) to separate vocals from polyphonic music, then designed an encoder-decoder network to estimate the vocal F0 values. Experime
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Lim, Yeonwoo, and Yoonhan Jeon. "An Analysis of the Use of Leitmotif in the Movie “Howl's Moving Castle”: Focusing on Sophie’s Theme." Korean Society of Culture and Convergence 45, no. 12 (2023): 363–75. http://dx.doi.org/10.33645/cnc.2023.12.45.12.363.

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The soundtrack in the movie is closely related to the movie's universe, especially the characters. This study examined the leitmotif of Studio Ghibli's “Howl's Moving Castle” and analyzed how the leitmotif related to the narrative of the film are used throughout the film. Sophie, the maini character, is cursed from an ordinary 18-year-old girl and instantly transforms into a 90-year-old grandmother. Hisaishi Joe accepts the director's order to make music consistent so that movie audiences can feel the same as Sophie, breaking the idea that the main theme should not exceed one-third of the tota
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Li, Feng, Yujun Hu, and Lingling Wang. "Unsupervised Single-Channel Singing Voice Separation with Weighted Robust Principal Component Analysis Based on Gammatone Auditory Filterbank and Vocal Activity Detection." Sensors 23, no. 6 (2023): 3015. http://dx.doi.org/10.3390/s23063015.

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Singing-voice separation is a separation task that involves a singing voice and musical accompaniment. In this paper, we propose a novel, unsupervised methodology for extracting a singing voice from the background in a musical mixture. This method is a modification of robust principal component analysis (RPCA) that separates a singing voice by using weighting based on gammatone filterbank and vocal activity detection. Although RPCA is a helpful method for separating voices from the music mixture, it fails when one single value, such as drums, is much larger than others (e.g., the accompanying
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