Gotowe bibliografie tematyczne / Songs with music

Gotowa bibliografia na temat „Songs with music”

Autor: Grafiati
Data publikacji: 27 lipca 2024
Data aktualizacji: 29 lipca 2024

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Artykuły w czasopismach na temat "Songs with music"

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Park, Young Shin, Hyunjin Moon i Yunhee Seung. "A Study on the Aspects of Children's Song Festival Winning Songs Included in Elementary School Music Textbooks". Korean Association For Learner-Centered Curriculum And Instruction 22, nr 19 (15.10.2022): 533–50. http://dx.doi.org/10.22251/jlcci.2022.22.19.533.

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Objectives Looking back at the 100-year history of creative children's songs, the ‘Children's Song Festival’ proves to have had a great influence on the development of children songs. The first purpose of this study is to investigate all Children's Song Festival winning songs included in elementary school music textbooks according to the educational curriculum change. The second purpose is to analyze the aspects of those winning songs published in music textbooks. Methods To do so, this study conducted a combination of literature reviews and research study methods, and analyzed Children's Song Festival winning songs in music textbooks. These songs were those that were included in 3~6 grade elementary school music textbooks from the fifth curriculum period (1987~1991) until the current 2015 revised curriculum; meaning all winning songs in elementary school music textbooks since the first Children's Song Festival of 1983 were analyzed. Results First, an analysis on ‘Children's Creative Song Festival Winning Songs and Number of Songs’ shows that out of the total 96 winning songs, the majority of winning songs were from the MBC Children's Song Festival - a total of 69 songs (71.9%). Second, upon analyzing the ‘Number of Times Festival Winning Songs were Published’, it was found that the number increased as the curriculum changed and as textbooks went up to an older grade level. The textbook publisher ‘Genius Education’ had the most winning songs within their textbooks - a total of 43 times (15.8%) were winning songs published. Third, after analyzing the ‘Name and Number of Overlapping Winning Songs’, it was revealed that there were 51 overlapping songs, the song that was published multiple times in music textbooks was <On a Train Ride> from the 1st KBS Children's Song Festival - a total of 13 times. The songs <Island Village> and <Walking in the Woods> were published 11 & 10 times respectively - both songs were from the 4th MBC Children's Song Festival. Songs that are continuously included in music textbooks are <On a Train Ride> and <Walking in the Woods>. Conclusions The act of singing creative children songs gives children hope, courage, the chance to dream, and holds an educational meaning that allows them to experience the beauty of music. Thus, continuing discovery and supply of creative children's songs are of great significance. Since Children's Song Festivals, which has played a huge role in the development of creative children's songs, are no longer as common as before, a new developing method that fits current society criteria must be sought out.
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Dong, Aoran, Ruizhe Qiu i Zhen Ye. "Regression Analysis of Song Popularity based on Ridge, K-Nearest Neighbors and Multiple-Layers Neural Networks". Highlights in Science, Engineering and Technology 39 (1.04.2023): 609–17. http://dx.doi.org/10.54097/hset.v39i.6602.

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Contemporarily, human beings are working on the implementation of artificial intelligence technology in the arts fields, where the music is one of the directions. Before humans can create a song with artificial intelligence, it is necessary to understand the song first. This research tries to find out the relationship between the song's popularity and several selected songs' physical parameters based on statistics and machine learning. According to the analysis, this research proves that there is no significant relationship between selected physical parameters and the song's popularity. In addition, machine learning algorithms also do not find the potential relationships between them. In this case, it is safe to conclude that creating the song by considering these selected physical parameters is meaningless. On this basis, scholars should try to find out what factors make the song popular in terms of analyzing songs differently. These results shed light on guiding further exploration of future music analysis and artificial intelligence in music fields.
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Hiller, James. "Music Therapists’ Preparation for Song Discussion: Meaning-Making With the Music". Music Therapy Perspectives 37, nr 2 (2019): 205–12. http://dx.doi.org/10.1093/mtp/miz005.

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Abstract Songs are powerful catalysts and resources for change processes in music psychotherapy. Not surprisingly, music therapists often invite clients to listen to recordings of popular songs. A common song listening method is song discussion, in which a therapist selects a relevant song to explore with a client or group and facilitates the listening and subsequent verbal processing. In the relevant music therapy literature, lyrics assume a primary focus (i.e., lyric analysis), and yet, the music of a song, as integrated with its lyrics, impacts both client’s and therapist’s meaning-making and is therefore crucial to take into account. The purpose of the present investigative essay is to encourage music therapists to give attention to the music of recorded songs as they plan to facilitate song discussion. Herein I present a conceptualization of recorded popular songs and consider how one makes meaning from song listening processes. I urge therapists to prepare for song discussion through careful phenomenological listening and introspective interpretation. Finally, I describe procedures of a developing model for aural song analysis and interpretation based on Bruscia’s Improvisation Assessment Profiles (IAPs) with an abbreviated example viewed through multiple theoretical perspectives.
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Navin Kamuni. "Enhancing Music Genre Classification through Multi-Algorithm Analysis and User-Friendly Visualization". Journal of Electrical Systems 20, nr 6s (29.04.2024): 2274–81. http://dx.doi.org/10.52783/jes.3178.

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The aim of this study is to teach an algorithm how to recognize different types of music. Users will submit songs for analysis. Since the algorithm hasn't heard these songs before, it needs to figure out what makes each song unique. It does this by breaking down the songs into different parts and studying things like rhythm, melody, and tone via supervised learning because the program learns from examples that are already labelled. One important thing to consider when classifying music is its genre, which can be quite complex. To ensure accuracy, we use five different algorithms, each working independently, to analyze the songs. This helps us get a more complete understanding of each song's characteristics. Therefore, our goal is to correctly identify the genre of each submitted song. Once the analysis is done, the results are presented using a graphing tool, making it easy for users to understand and provide feedback.
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Wafa, Mochammad Usman, Neli Purwani i Abdul Malik. "Characteristics of Titounis Children Songs: A Study of Songs, Music Instruments and Onomatopoeia". Harmonia: Journal of Arts Research and Education 20, nr 2 (27.12.2020): 161–66. http://dx.doi.org/10.15294/harmonia.v20i2.25539.

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The purpose of the study is to describe an analysis of children’s song characteristics Titounis. This study used a musicological approach to recognize songs’ characteristics. The data collection were document study and, listen and take note. This study used a content analysis technique. The analysis cover three aspects: (1) songs’ analysis, (2) instruments’ analysis, (3) Onomatopoeia. The songs that were analyzed were (1) Petit Escargot, (2) Le Roues de l Autobus, (3) Les Chiffres, (4) Un kilometer en Roulant. In the song analysis, the patterns used were general patterns, using fun and cheerful vocals, strong tonal stress, relatively limited variations in tones, slow, fast, and gradual tempo. The delivery style invites singing as well as dialogue or interaction. Then in musical instruments, the melody variations of each instrument form harmonization, the use of non-musical instruments emphasizes the theme of the song and provides the experience of hearing about the environment. The onomatopoeic analysis shows sound vroom (car), pataboum (jumping passengers), bip-bip-bip (serine), suisse-suisse (wiper). The onomatopoeia of Titounis songs serves to strengthen the song’s theme.
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Barbiere, J. Michael, Ana Vidal i Debra A. Zellner. "The Color of Music: Correspondence through Emotion". Empirical Studies of the Arts 25, nr 2 (lipiec 2007): 193–208. http://dx.doi.org/10.2190/a704-5647-5245-r47p.

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College students listened to four song clips. Following each clip, the students indicated which color(s) corresponded to each of the four songs by distributing five points among eleven basic color names. Each song had previously been identified as either a “happy” or “sad” song. Each participant listened to two “happy” and two “sad” songs in random order. There was more agreement in color choice for the songs eliciting the same emotions than for songs eliciting different emotions. Brighter colors such as yellow, red, green, and blue were usually assigned to the happy songs and gray was usually assigned to the sad songs. It was concluded that music-color correspondences occur via the underlying emotion common to the two stimuli.
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Zhang, Yelin. "A Multi-sentence Music Humming Retrieval Algorithm Based on Relative Features and Deep Learning". Scalable Computing: Practice and Experience 25, nr 3 (12.04.2024): 1799–806. http://dx.doi.org/10.12694/scpe.v25i3.2711.

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This project will study a fast retrieval method for music humming speech recognition based on sentence features and deep learning. The method proposed in this paper can realize the fast extraction of songs. According to the characteristics of the natural pause mode of the song, the song database and the song fragments provided by the user are divided into different sentences. The deep learning algorithm of BDTW is used to calculate the similarity of the song's pitch, and users can set matching conditions according to their preferences. It can identify the most significant differences between music fragments and the order of queries in the database. Then, a retrieval method of a music database based on DIS is proposed. It can shorten the acquisition time. Experiments show that the algorithm can recognize humming songs quickly and efficiently.
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Hertz, Paul, i Barry Truax. "Song of Songs: Computer Music". Leonardo 31, nr 1 (1998): 74. http://dx.doi.org/10.2307/1576551.

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Kang, Stella. "Analysis of practical and popular music as contemporary music: Focusing on elementary school music textbooks". Korean Association For Learner-Centered Curriculum And Instruction 24, nr 5 (15.03.2024): 77–93. http://dx.doi.org/10.22251/jlcci.2024.24.5.77.

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Objectives The need for an accurate understanding of the concepts of contemporary music, practical music, and popular music, and the recognition of the necessity for changes in music education based on individual music tastes and preferences, are affirmed. This aims to advocate for a reassessment of music textbooks, particularly in elementary music education, through a quantitative evaluation of practical and popular music content. Furthermore, the proposal emphasizes the necessity for changes in music textbooks through individual assessments of multi-frequent songs. Methods Analyze the popular music area included in elementary school music textbooks. We analyzed the songs included in 32 textbooks from 8 different publishers, established the multi-frequent songs, and looked into the characteristics and contents of each song. The need for changes to the songs included in textbooks is confirmed through individual evaluation of the distribution of songs included in music textbooks and the multi-frequent songs. Results First, animation music accounts for 26.4% and movie music 25.8%, which accounts for more than 50%. Second, there are 121 foreign songs and 61 domestic songs, with POP (13.2%) followed by K-POP (9.9%), and there are many POP in the singing field. Third, there are differences between textbooks, Fourth, the content related to the music industry is insufficient, and it is included in 5 textbooks (out of 32), and Fifth, there are problems with the content and release period of multi-frequent songs. Lastly, since multi-frequent songs are repeatedly included in middle and high school textbooks, a feasibility study on this aspect is also necessary. Conclusions There is a need to realistically reflect the songs included in textbooks, and for this, it is necessary to reexamine the songs included in textbooks. There is a need for a change in perception of popular music education due to scientific development, and a practical approach to the methods and content needed for future popular music education is needed.
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Purnomo, Try Wahyu. "PEMILIHAN LAGU PELANGI – PELANGI CIPTAAN A.T. MAHMUD SEBAGAI MATERI AJAR DALAM PEMBELAJARAN MUSIK ANAK". Jurnal Guru Kita PGSD 5, nr 1 (2.12.2020): 23. http://dx.doi.org/10.24114/jgk.v5i1.20857.

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Abstract: Selection Of Pelangi Songs - Rainbow Creation A.T. Mahmud As A Teaching Material In Children's Music Learning. The purpose of this study was to determine the selection of songs used as teaching material in children's music learning. The research used a descriptive qualitative approach where this method the writer could explain the results of the lyric analysis and also the rhythm of A.T Mahmud's rainbow song which was used as teaching material in children's music learning. Teaching materials aimed at children, of course, must refer to aspects that are easy to match the child's character. In terms of lyrics, a song must be invincible through choosing the right words for children, choosing songs with simple rhythm forms can also help children to follow the learning process well. Based on the analysis of A.T Mahmud's rainbow song, it can be seen that the song lyrics reveal a positive thing, namely telling children that God created something beautiful and rich in various colors. The rhythm concept in this song is also fairly simple, so it is very appropriate to be used as teaching material in children's music learning Keywords: Children’s songs, Music Teaching Materials, Music Learning Abstrak: Pemilihan Lagu Pelangi – Pelangi Ciptaan A.T. Mahmud Sebagai Materi Ajar Dalam Pembelajaran Musik Anak. Tujuan dari penelitian ini adalah untuk mendiskusikan mengenai pemilihan lagu yang digunakan sebagai materi ajar dalam pembelajaran musik anak. Penelitian ini menggunakan pendekatan kualitatif yang bersifat deskriptif dimana dengan metode ini penulis dapat memaparkan mengenai hasil analisis lirik dan juga ritme terhadap lagu pelangi ciptaan A.T Mahmud yang digunakan sebagai materi ajar pada pembelajran musik anak. Materi ajar yang ditujukan untuk anak tentunya harus mengacu kepada aspek-aspek yang mudah untuk dimengerti sesuai dengan karakter anak. Dari segi lirik sebuah lagu harus disesuaikan melalui pemilihan kata-kata yang tepat untuk anak, pemilihan lagu dengan bentuk ritme yang sederhana juga dapat membantu anak untuk mengikuti proses pembelajaran dengan baik. Berdasarkan hasil analisis pada lagu pelangi ciptaan A.T Mahmud maka dapat dilihat bahwa lirik lagu menceritakan hal yang positif yaitu memberitahukan kepada anak bahwa Tuhan menciptakan sesuatu yang indah dan kaya akan berbagai warna. Konsep ritme dalam lagu ini juga terbilang sederhana, sehingga sangat tepat digunakan sebagai materi ajar dalam pembelajaran musik anak Kata kunci: Lagu anak, Materi Ajar Musik, Pembelajaran Musik
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Rozprawy doktorskie na temat "Songs with music"

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Hubbard, Colton M. "Tea Songs". University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1116378208.

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Chen, Ching-Yi. "A Performer's Guide to John Musto's Song Cycle, Quiet Songs". The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1331099604.

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Nguyễn, Xuân-Thaʼo Joseph. "Music ministry the inculturation of liturgical vocal music in Vietnam /". Theological Research Exchange Network (TREN), 2007. http://www.tren.com/search.cfm?p033-0807.

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Lanci, Michael P. "Songs for Joe Hill". University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin149580760300849.

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Sahr, Nate. "Song/Casting: Combining Podcasts and Songs to Create a Hybrid Medium". Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1619174946672814.

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Baron, Michael David. "The songs of Franz Liszt". Connect to resource, 1993. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1234717504.

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Hung, Justin. "Songs about Words". Digital Commons @ Butler University, 2020. https://digitalcommons.butler.edu/grtheses/523.

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A song cycle for baritone and mixed chamber ensemble, "Songs about Words" consists of five songs for everyday concepts and subjects, and explores deeper themes of communication and identity. The ensemble consists of piano, accordion, tenor saxophone, percussion and double bass. The text was inspired by Pablo Neruda and written by the composer.
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Hood, Errik M. "Teaching the Songs of Ivor Gurney:An Applied Studio Guide to the Utilization of Fourteen Songs". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1448468099.

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Fisher-Giorlando, Marianne. "Prison culture : using music as data". Connect to resource, 1987. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1214249344.

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Sigurjónsson, Jóhannes. "Reference Music As Guidelines : Using reference music to create better songs". Thesis, Linnéuniversitetet, Institutionen för musik och bild (MB), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-73989.

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This essay examines how reference music can be used as a tool to fix weaknesses within my own songwriting and production process. The weaknesses were found by analysing feedback from other students on my own music. Four reference artists were then analysed with the intent of finding solutions to these weaknesses. Four new songs were then written and produced by implementing the solutions from the reference artists into the creative process. The results were mostly positive, as the songs had improved on various issues found in the feedback analysis. However, the method restricted the creative process in some occasions rather than inspiring it. The reasons for this are in part due to the choice of reference artists and which aspects of their music were in focus for the analysis.
I detta arbete undersöker jag hur referensmusik kan användas som ett verktyg för att stärka svagheter i mitt eget låtskrivande- och produktionsprocess. Svagheterna hittades genom att analysera feedback från andra studenter på min egen musik. Därefter analyserades fyra referensartister med syftet att hitta lösningar på dessa svagheter. Fyra nya låtar skrevs sedan och producerades genom att implementera lösningarna från referensartisterna till den kreativa processen. Resultaten var mestadels positiva, eftersom låtarna förbättrades på olika svagheter som hittades i feedbackanalysen. Metoden begränsade dock den kreativa processen i vissa tillfällen snarare än att inspirera den. Anledningarna till detta beror dels på valet av referensartister och vilka aspekter av deras musik som analyserna var inriktade på.
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Książki na temat "Songs with music"

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Caesar, Little. Songs about music. [s.l.]: Unistar Radio Programming, 1991.

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Ann, Little Miss. Music for tots. [Place of publication not identified]: [publisher not identified], 2006.

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Race, Steve. My music - my songs. London: Novello, 1987.

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Baird, Tadeusz. Songs and orchestral music. London: Olympia, 1993.

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group), Fugazi (Musical. 13 songs. Washington, D.C: Dischord Records, 1989.

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Dean, Gene. Country songs and talk songs. [Virginia]: Goodway Pub., 1998.

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Babyface. Love songs. New York, NY: Epic, 2001.

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Furia, Philip. America's Songs. London: Taylor and Francis, 2006.

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Bicknell, Jeanette, i John Andrew Fisher. Song, songs, and singing. Malden, MA: John Wiley & Sons, 2013.

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Pollanz, Wolfgang. 33 songs. Graz: Edition Keiper, 2013.

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Części książek na temat "Songs with music"

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Akuno, Emily Achieng’. "Children’s songs". W Music Education in Africa, 299–314. Abingdon, Oxon; New York, NY: Routledge, 2019. | Series: Routledge studies in music education: Routledge, 2019. http://dx.doi.org/10.4324/9780429201592-19.

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Thomas, Richard K. "Campfire Songs". W Music as a Chariot, 109–32. New York : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315145631-6.

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Archer, W. G. "Steps and Music". W Love Songs of Vidyāpati, 117. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003104216-79.

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Amos, Jonny. "Releasing Cover Songs and Remixes". W The Music Business for Music Creators, 167–68. London: Focal Press, 2024. http://dx.doi.org/10.4324/9781003452119-24.

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Lal, Ananda. "Note on the Music Scores". W Songs of Tagore, 53–55. London: Routledge India, 2023. http://dx.doi.org/10.4324/9781003276869-5.

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Johansson, Ola. "An Analysis of Swedish Pop Music". W Songs from Sweden, 99–135. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2736-4_4.

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Amos, Jonny. "Songwriters Pitching Songs to Recording Artists". W The Music Business for Music Creators, 268–76. London: Focal Press, 2024. http://dx.doi.org/10.4324/9781003452119-41.

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Flinn, Caryl. "The Songs of Music46". W The Sound of Music, 47–93. London: British Film Institute, 2015. http://dx.doi.org/10.1007/978-1-84457-910-5_3.

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Bolderman, Leonieke. "Sharing songs on Hirakata Square". W Contemporary Music Tourism, 40–57. Abingdon, Oxon; New York, NY: Routledge, 2020. |: Routledge, 2020. http://dx.doi.org/10.4324/9780429318863-3.

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Tragaki, Dafni. "Acoustemologies of rebetiko love songs". W Music as Atmosphere, 184–201. [1.] | New York : Routledge, 2019. | Series: Ambiances, atmospheres and sensory experiences of spaces: Routledge, 2019. http://dx.doi.org/10.4324/9780815358718-10.

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Streszczenia konferencji na temat "Songs with music"

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Folorunso, S. O., O. O. Banjo, J. B. Awotunde i F. E. Ayo. "Machine Learning Analysis of Music Based on Music Information Retrieval Tasks". W International Workshop on Social Impact of AI for Africa 2022. AIJR Publisher, 2024. http://dx.doi.org/10.21467/proceedings.157.3.

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Music Information Retrieval (MIR) methods extracts from music high-level information like classification, musical feature extraction, song similarity and tonality. Musical genre is one of the orthodox methods of describing musical content and a significant part of MIR. At present, few MIR research has been done on Nigerian songs. So, this paper proposed to build a genre classification model based on Mel Spectrogram of audio songs. The process first converts ORIN audio dataset to Mel Spectrogram and extract numerical information from it using the Histogram of Oriented Gradient (HOG) and apply machine learning (ML) models to accurately categorize the songs into different genres of Apala, Fuji, Juju, Highlife and Waka. Support Vector Machine (SVM) with 4 different kernels, with 10- cross validation method were applied and assessed based on Accuracy and Receiver operating characteristics (ROC).
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Cheng, Zhiyong, Jialie Shen, Lei Zhu, Mohan Kankanhalli i Liqiang Nie. "Exploiting Music Play Sequence for Music Recommendation". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/511.

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Users leave digital footprints when interacting with various music streaming services. Music play sequence, which contains rich information about personal music preference and song similarity, has been largely ignored in previous music recommender systems. In this paper, we explore the effects of music play sequence on developing effective personalized music recommender systems. Towards the goal, we propose to use word embedding techniques in music play sequences to estimate the similarity between songs. The learned similarity is then embedded into matrix factorization to boost the latent feature learning and discovery. Furthermore, the proposed method only considers the k-nearest songs (e.g., k = 5) in the learning process and thus avoids the increase of time complexity. Experimental results on two public datasets demonstrate that our methods could significantly improve the performance of both rating prediction and top-n recommendation tasks.
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Yeganeh, Nashmin, Ivan Makarov, Snorri Steinn Stefánsson Thors, Hafliði Ásgeirsson, Árni Kristjánsson i Rúnar Unnþórsson. "Vibrotactile Sleeve to Improve Music Enjoyment of Cochlear Implant Users". W ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95591.

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Abstract This study presents a new design of a wearable vibrotactile device — a tactile sleeve consisting of three voice coil actuators (Model: Lofelt L5). The device was made within an R&D project aimed at developing a wearable for enhancing the music perception of cochlear implant recipients. The aim is to provide tactile stimulation in addition to the cochlear implant stimulation — generating an audio-tactile music experience. We also present the results of an experiment performed to investigate whether the sleeve can be used to identify songs from tactile stimulation and investigate the effects of different encodings. Five short music segments were used, and the tactile stimulation provided by each voice coil actuator conveyed song information (Bass or drum). Participants had intact hearing. At the beginning of the experiment, the participants listened to one song via headphones. Afterward, they were presented with various tactile encodings of the songs in random order. Their task was to identify the encoding of the song that was played. In this experiment, an investigation of the best combination of information from the bass versus drums was conducted. The results confirm that the sleeve can provide tactile stimulation that can be used to identify songs without audio. The results also provide insights into which encodings are most useful for conveying music.
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Ćalić, Maja R., i Jelena R. Grkić Ginić. "Odlike i funkcionalnost pesama u udžbenicima za muzičku kulturu za treći razred osnovne škole". W Nauka i obrazovanje – izazovi i perspektive. University of Kragujevac, Faculty of Edaucatin in Uzice, 2022. http://dx.doi.org/10.46793/noip.415c.

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Given the fact that a song represents the basis, the primary content as well as the central topic in teaching Music Education in primary school, this paper aims to clarify the functionality and features of songs by analyzing a selection of music textbooks for the third grade of primary school, that is, by identifying and determining this effective musical content, its role and effectiveness in the musical development of students. The aim of the paper is to theoretically analyze the melodic-rhythmic and thematic features of songs, determine their functionality as well as their interplay in the textbooks and on CD. The analysis shows that the songs in the selected textbooks are age-appropriate as regards their melodic-rythmical features and themes. The functionality of the songs is aimed at developing a sense of rhythm, vocal apparatus as well as musical literacy. Audio materials open up new possibilities for song interpretation through karaoke.
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Silva, Mariana O., i Mirella M. Moro. "Collaboration-Aware Hit Song Analysis and Prediction". W Anais Estendidos do Simpósio Brasileiro de Sistemas Multimídia e Web. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/webmedia_estendido.2021.17603.

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We propose tackling the Hit Song Prediction problem through a multimodal form with songs’ features fused together. Specifically, we describe songs from three feature modalities: music, artist and album. Initially, we identify collaboration profiles in a success-based musical network, unveiling how professional connections can significantly impact their success. Then, we use time series and the Granger Causality test for assessing whether there is a causal relationship between collaboration profiles and artists’ popularity. Finally, we model the Hit Song Prediction problem as two distinct tasks: classification and placement. The former is a classical binary classification model and directly applies our fusion strategies. The latter is a modeling approach that ranks a song relative to a given chart, predicts hit songs, and provides comparative popularity information of a set of songs. Furthermore, we emphasize collaboration artists’ profiles as important features when describing their songs. Overall, our empirical studies confirm the effectiveness of our method that fuses heterogeneous data for both tasks.
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Shan, Yong, Jinchao Zhang, Huiying Ren, Yao Qiu i Jie Zhou. "LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System". W Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/842.

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This paper presents a novel system, named LingGe ("伶歌" in Chinese), to generate songs for ancient Chinese poems automatically. LingGe takes the poem as the lyric, composes music conditioned on the lyric, and finally outputs a full song including the singing and the accompaniment. It consists of four modules: rhythm recognition, melody generation, accompaniment generation, and audio synthesis. Firstly, the rhythm recognition module analyzes the song structure and rhythm according to the poem. Secondly, the melody generation module assembles the rhythm into the template and then generates the melody. Thirdly, the accompaniment generation module predicts the accompaniment in harmony with the melody. Finally, the audio synthesis module generates singing and accompaniment audio and then mixes them to obtain songs. The results show that LingGe can generate high-quality and expressive songs for ancient Chinese poems, both in harmony and rhythm.
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Oliveira, Gabriel P., i Mirella M. Moro. "Mining Exceptional Genre Patterns on Hit Songs". W Symposium on Knowledge Discovery, Mining and Learning. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/kdmile.2023.232412.

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The music industry has always been complex and competitive. Nowadays, combining different genres has become a common practice to promote new music and reach new audiences. Given the diversity of combinations between all genres, predictive and descriptive analyses are very challenging. Here, our goal is to mine frequent and exceptional patterns in music collaborations that have achieved success in both global and regional markets. We use the Apriori algorithm to mine genre patterns and association rules that reveal how music genres combine with each other in each market. The results show significant differences in the behavior of each market and a strong influence of the regional factor on musical success. In addition, we are able to use such patterns to identify and recommend promising genre combinations for such markets through the association rules.
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Soleymani, Mohammad, Micheal N. Caro, Erik M. Schmidt, Cheng-Ya Sha i Yi-Hsuan Yang. "1000 songs for emotional analysis of music". W the 2nd ACM international workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2506364.2506365.

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Kuusi, Tuire, Ivan Jimenez i Matthew D. Schulkind. "Identifying Beatles songs from their chord progressions: New evidence of the effect of specialized harmonic familiarity, melodic cues, and transposition on the identification of songs from chord progressions". W Future Directions of Music Cognition. The Ohio State University Libraries, 2021. http://dx.doi.org/10.18061/fdmc.2021.0035.

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Yu, Zhesong, Xiaoshuo Xu, Xiaoou Chen i Deshun Yang. "Temporal Pyramid Pooling Convolutional Neural Network for Cover Song Identification". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/673.

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Cover song identification is an important problem in the field of Music Information Retrieval. Most existing methods rely on hand-crafted features and sequence alignment methods, and further breakthrough is hard to achieve. In this paper, Convolutional Neural Networks (CNNs) are used for representation learning toward this task. We show that they could be naturally adapted to deal with key transposition in cover songs. Additionally, Temporal Pyramid Pooling is utilized to extract information on different scales and transform songs with different lengths into fixed-dimensional representations. Furthermore, a training scheme is designed to enhance the robustness of our model. Extensive experiments demonstrate that combined with these techniques, our approach is robust against musical variations existing in cover songs and outperforms state-of-the-art methods on several datasets with low time complexity.
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Raporty organizacyjne na temat "Songs with music"

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Manhiça, Anésio, Alex Shankland, Kátia Taela, Euclides Gonçalves, Catija Maivasse i Mariz Tadros. Alternative Expressions of Citizen Voices: The Protest Song and Popular Engagements with the Mozambican State. Institute of Development Studies (IDS), listopad 2020. http://dx.doi.org/10.19088/ids.2020.001.

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This study examines Mozambican popular music to investigate three questions: Are notions of empowerment and accountability present in popular music in Mozambique? If so, what can these existing notions of empowerment and accountability reveal about relations between citizens and state institutions in general and about citizen-led social and political action in particular? In what ways is popular music used to support citizen mobilisation in Mozambique? The discussion is based on an analysis of 46 protest songs, interviews with musicians, music producers and event promoters as well as field interviews and observations among audiences at selected popular music concerts and public workshops in Maputo city. Secondary data were drawn from radio broadcasts, digital media, and social networks. The songs analysed were widely played in the past two decades (1998–2018), a period in which three different presidents led the country. Our focus is on the protest song, conceived as those musical products that are concerned with public affairs, particularly public policy and how it affects citizens’ social, political and economic life, and the relationship between citizens and the state.
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Berrian, Brenda F. Chestnut Women: French Caribbean Women Writers and Singers. Inter-American Development Bank, lipiec 2001. http://dx.doi.org/10.18235/0007945.

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Shiller, Ben, i Joel Waldfogel. Music for a Song: An Empirical Look at Uniform Song Pricing and its Alternatives. Cambridge, MA: National Bureau of Economic Research, październik 2009. http://dx.doi.org/10.3386/w15390.

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