Academic literature on the topic 'Audio cover song'
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Journal articles on the topic "Audio cover song"
Sarno, Riyanarto, Dedy Rahman Wijaya, and Muhammad Nezar Mahardika. "Music fingerprinting based on bhattacharya distance for song and cover song recognition." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 2 (April 1, 2019): 1036. http://dx.doi.org/10.11591/ijece.v9i2.pp1036-1044.
Full textMaršík, Ladislav, Petr Martišek, Jaroslav Pokorný, Martin Rusek, Kateřina Slaninová, Jan Martinovič, Matthias Robine, Pierre Hanna, and Yann Bayle. "KaraMIR: A Project for Cover Song Identification and Singing Voice Analysis Using a Karaoke Songs Dataset." International Journal of Semantic Computing 12, no. 04 (December 2018): 501–22. http://dx.doi.org/10.1142/s1793351x18400202.
Full textSusanti, Eka Dian, Ari Sapto, and Dewa Agung Gede Agung. "Pengembangan Media ECHA (Elaboration, Cover Song, Historycal Content, Audio Visual) Berbasis Vlog Dalam Pembelajaran Sejarah." Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan 5, no. 3 (March 9, 2020): 326. http://dx.doi.org/10.17977/jptpp.v5i3.13252.
Full textCooper, B. Lee. "Promoting Social Change Through Audio Repetition1." Journal of Popular Music Studies 30, no. 3 (September 3, 2018): 45–56. http://dx.doi.org/10.1525/jpms.2018.200015.
Full textPutra, I. Putu Lukita Wiweka Nugraha. "Kearifan Lokal Musikal dalam Lagu-lagu Album Bali Kumara." Journal of Music Science, Technology, and Industry 1, no. 1 (August 31, 2018): 99. http://dx.doi.org/10.31091/jomsti.v1i1.506.
Full textIngolfsson, Vala, Carolina Montenegro, William D. Service, and Christopher B. Sturdy. "Manual versus automatic identification of black-capped chickadee (Poecile atricapillus) vocalizations." Alberta Academic Review 2, no. 2 (September 10, 2019): 41–42. http://dx.doi.org/10.29173/aar48.
Full textKocherzhuk, D. V. "Sound recording in pop art: differencing the «remake» and «remix» musical versions." Aspects of Historical Musicology 14, no. 14 (September 15, 2018): 229–44. http://dx.doi.org/10.34064/khnum2-14.15.
Full textHao, Yiya, Yaobin Chen, Weiwei Zhang, Gong Chen, and Liang Ruan. "A real-time music detection method based on convolutional neural network using Mel-spectrogram and spectral flux." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 1 (August 1, 2021): 5910–18. http://dx.doi.org/10.3397/in-2021-11599.
Full textWaldron, David. "Witchcraft for Sale! Commodity vs. Community in the Neopagan Movement." Nova Religio 9, no. 1 (August 1, 2005): 32–48. http://dx.doi.org/10.1525/nr.2005.9.1.032.
Full textWilliams, Richard David, and Rafay Mahmood. "A Soundtrack for Reimagining Pakistan? Coke Studio, Memory and the Music Video." BioScope: South Asian Screen Studies 10, no. 2 (December 2019): 111–28. http://dx.doi.org/10.1177/0974927619896771.
Full textDissertations / Theses on the topic "Audio cover song"
Martinek, Václav. "Rozpoznávání hudebních coververzí pomocí technik Music Information Retrieval." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442587.
Full textDerrien, Olivier. "Optimisation de la quantification par modèles statistiques dans le MPEG advanced audio coder (AAC) : application à la spatialisation d'un signal comprimé en environnement MPEG-4." Paris, ENST, 2002. http://www.theses.fr/2002ENST0030.
Full textChan, Chuan-Yau, and 陳傳祐. "Audio Cover Song Identification Based On Beat-Synchronous Timbre-Invariant Chromagram and Cross Recurrence Plot Analysis." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/74491185341102960204.
Full text國立臺灣大學
電信工程學研究所
100
Identifying cover version of a song is easy and straightforward for human. However, it still can not perform accurately by a computer. Every music recording can be covered in various ways, such as live performance, rearrangement, and instrumental...etc. Consequently, there are various musical variations between different cover versions and original version. According to the second hand song website, ”Yesterday” performed by ”The Beatles” has 233 covered versions. In this thesis, I attempt to explore the effectiveness of various chroma feature for cover song identification, and propose a modelfree system based on beat-synchronous time-invariant chromagram and cross recurrence plot analysis. Using the online available covers80 dataset, the numbers of correctly identification covers is 62 over 80 songs. The evaluation result also reveals that the enhancement of chroma feature will lead to dramatic performance gains.
Book chapters on the topic "Audio cover song"
Serrà, Joan, Emilia Gómez, and Perfecto Herrera. "Audio Cover Song Identification and Similarity: Background, Approaches, Evaluation, and Beyond." In Advances in Music Information Retrieval, 307–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11674-2_14.
Full textWalters, Thomas C., David A. Ross, and Richard F. Lyon. "The Intervalgram: An Audio Feature for Large-Scale Cover-Song Recognition." In From Sounds to Music and Emotions, 197–213. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41248-6_11.
Full textConference papers on the topic "Audio cover song"
Ponighzwa, R. Mochammad Faris, Riyanarto Sarno, and Dwi Sunaryono. "Cover song recognition based on MPEG-7 audio features." In 2017 3rd International Conference on Science in Information Technology (ICSITech). IEEE, 2017. http://dx.doi.org/10.1109/icsitech.2017.8257086.
Full textSerra, Joan, and Emilia Gomez. "Audio cover song identification based on tonal sequence alignment." In ICASSP 2008 - 2008 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/icassp.2008.4517546.
Full textBertin-Mahieux, Thierry, and Daniel P. W. Ellis. "Large-scale cover song recognition using hashed chroma landmarks." In 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, 2011. http://dx.doi.org/10.1109/aspaa.2011.6082307.
Full textFang, Jiunn-Tsair, Yu-Ruey Chang, and Pao-Chi Chang. "Fast Cover Song Retrieval in Advanced Audio Coding Domain Based on Deep Learning Technique." In 2016 Data Compression Conference (DCC). IEEE, 2016. http://dx.doi.org/10.1109/dcc.2016.118.
Full textYu, Yi, J. Stephen Downie, Fabian Moerchen, Lei Chen, and Kazuki Joe. "Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs." In 2008 Tenth IEEE International Symposium on Multimedia (ISM) (Formerly MSE). IEEE, 2008. http://dx.doi.org/10.1109/ism.2008.18.
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