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Relevant bibliographies by topics / Cover song detection

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Academic literature on the topic 'Cover song detection'

Author: Grafiati

Published: 1 June 2024

Last updated: 31 July 2025

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Journal articles on the topic "Cover song detection"

1

Kostrzewa, Daniel, Paweł Szwajnoch, Robert Brzeski, and Dariusz Mrozek. "Detecting Selected Instruments in the Sound Signal." Applied Sciences 14, no. 14 (2024): 6330. http://dx.doi.org/10.3390/app14146330.

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Detecting instruments in a music signal is often used in database indexing, song annotation, and creating applications for musicians and music producers. Therefore, effective methods that automatically solve this issue need to be created. In this paper, the mentioned task is solved using mel-frequency cepstral coefficients (MFCC) and various architectures of artificial neural networks. The authors’ contribution to the development of automatic instrument detection covers the methods used, particularly the neural network architectures and the voting committees created. All these methods were eva

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Yakubu, Bashir Ishaku, Shua’ib Musa Hassan, and Sallau Osisiemo Asiribo. "AN ASSESSMENT OF SPATIAL VARIATION OF LAND SURFACE CHARACTERISTICS OF MINNA, NIGER STATE NIGERIA FOR SUSTAINABLE URBANIZATION USING GEOSPATIAL TECHNIQUES." Geosfera Indonesia 3, no. 2 (2018): 27. http://dx.doi.org/10.19184/geosi.v3i2.7934.

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Rapid urbanization rates impact significantly on the nature of Land Cover patterns of the environment, which has been evident in the depletion of vegetal reserves and in general modifying the human climatic systems (Henderson, et al., 2017; Kumar, Masago, Mishra, & Fukushi, 2018; Luo and Lau, 2017). This study explores remote sensing classification technique and other auxiliary data to determine LULCC for a period of 50 years (1967-2016). The LULCC types identified were quantitatively evaluated using the change detection approach from results of maximum likelihood classification algorithm

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Mrozek, Dariusz, Robert Brzeski, Daniel Kostrzewa, and Paweł Szwajnoch. "Detecting Selected Instruments in the Sound Signal." Applied Sciences 14, no. 14 (2024): 6330. https://doi.org/10.3390/app14146330.

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Detecting instruments in a music signal is often used in database indexing, song annotation, and creating applications for musicians and music producers. Therefore, effective methods that automatically solve this issue need to be created. In this paper, the mentioned task is solved using mel-frequency cepstral coefficients (MFCC) and various architectures of artificial neural networks. The authors’ contribution to the development of automatic instrument detection covers the methods used, particularly the neural network architectures and the voting committees crea

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4

Sun, Lining. "(Digital Presentation) Tailored Rare Earth-Doped Nanomaterials Toward Information Storage and Deep Learning Decoding." ECS Meeting Abstracts MA2022-02, no. 51 (2022): 1981. http://dx.doi.org/10.1149/ma2022-02511981mtgabs.

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Lanthanide-doped nanoparticles have been considered as one of the most promising luminescent materials due to their excellent properties such as high photochemical stability, long-lived (μs-ms) luminescence, narrow emission band, and low toxicity.Moreover, benefiting from a unique electronic structure (4fn5s25p6 , n = 0-14), lanthanides have discrete energy levels and exhibit practical wavelength conversion via downshifting and upconversion processes. Hence, their emissions cover the spectral regions from ultraviolet (UV) to near-infrared (NIR).[1,2] Here, my talk is mainly devoted to our rece

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Yu, Yifan. "Investigations on the Performance of Pre-established CNN Model in Music Emotion Detection." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 215–20. http://dx.doi.org/10.54097/hset.v39i.6530.

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Music is a medium for emotional artistic expression. Different people have different understandings of music. Music emotion recognition (MER) has thus become a novel branch in computer music. The goal of this essay is to investigate in the performance of established CNN architectures, such as AlexNet and VGG16, to recognize emotions contained in a song. CAL500 dataset is used as it covers a variety of genres. The dataset is transformed to spectrograms, which can be understood by computers through image recognition. The result of this investigation turned out to be that previous architectures w

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Hao, 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 (2021): 5910–18. http://dx.doi.org/10.3397/in-2021-11599.

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Audio processing, including speech enhancement system, improves speech intelligibility and quality in real-time communication (RTC) such as online meetings and online education. However, such processing, primarily noise suppression and automatic gain control, is harmful to music quality when the captured signal is music instead of speech. A music detector can solve the issue above by switching off the speech processing when the music is detected. In RTC scenarios, the music detector should be low-complexity and cover various situations, including different types of music, background noises, an

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Fejfar, Jiří, and Jiří Šťastný. "Time series clustering in large data sets." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 2 (2011): 75–80. http://dx.doi.org/10.11118/actaun201159020075.

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The clustering of time series is a widely researched area. There are many methods for dealing with this task. We are actually using the Self-organizing map (SOM) with the unsupervised learning algorithm for clustering of time series. After the first experiment (Fejfar, Weinlichová, Šťastný, 2009) it seems that the whole concept of the clustering algorithm is correct but that we have to perform time series clustering on much larger dataset to obtain more accurate results and to find the correlation between configured parameters and results more precisely. The second requirement arose in a need

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Hens, Luc, Nguyen An Thinh, Tran Hong Hanh, et al. "Sea-level rise and resilience in Vietnam and the Asia-Pacific: A synthesis." VIETNAM JOURNAL OF EARTH SCIENCES 40, no. 2 (2018): 127–53. http://dx.doi.org/10.15625/0866-7187/40/2/11107.

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Climate change induced sea-level rise (SLR) is on its increase globally. Regionally the lowlands of China, Vietnam, Bangladesh, and islands of the Malaysian, Indonesian and Philippine archipelagos are among the world’s most threatened regions. Sea-level rise has major impacts on the ecosystems and society. It threatens coastal populations, economic activities, and fragile ecosystems as mangroves, coastal salt-marches and wetlands. This paper provides a summary of the current state of knowledge of sea level-rise and its effects on both human and natural ecosystems. The focus is on coastal urban

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Chowdhury, Uttam. "Regulation of transgelin and GST-pi proteins in the tissues of hamsters exposed to sodium arsenite." International Journal of Toxicology and Toxicity Assessment 1, no. 1 (2021): 1–8. http://dx.doi.org/10.55124/ijt.v1i1.49.

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Hamsters were exposed to sodium arsenite (173 mg As/L) in drinking water for 6 days. Equal amounts of proteins from urinary bladder or liver extracts of control and arsenic-treated hamsters were labeled with Cy3 and Cy5 dyes, respectively. After differential in gel electrophoresis and analysis by the DeCyder software, several protein spots were found to be down-regulated and several were up regulated. Our experiments indicated that in the bladder tissues of hamsters exposed to arsenite, transgelin was down-regulated and GST-pi was up-regulated. The loss of transgelin expression has been report

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"Inside Back Cover." Chinese Journal of Chemistry 42, no. 21 (2024): 2683. http://dx.doi.org/10.1002/cjoc.202490215.

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Programable peptide nucleic acid (PNA) probes assisted DNA variants detection method demonstrates exceptional sensitivity and efficiency in detecting low‐frequency mutations. We presented a computational method for calculating the stacking energy of PNA and DNA hybrids, leveraging nearest neighbor parameters. Utilizing this computational framework, we designed PNA probes, which improve amplification efficiency by more than 10‐fold and detect mutations as low as 0.5% variant allele frequency. More details are discussed in the article by Song et al. on pages 2572—2580.image

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Dissertations / Theses on the topic "Cover song detection"

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Vaglio, Andrea. "Leveraging lyrics from audio for MIR." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAT027.

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Les paroles de chansons fournissent un grand nombre d’informations sur la musique car ellescontiennent une grande partie de la sémantique des chansons. Ces informations pourraient aider les utilisateurs à naviguer facilement dans une large collection de chansons et permettre de leur offrir des recommandations personnalisées. Cependant, ces informations ne sont souvent pas disponibles sous leur forme textuelle. Les systèmes de reconnaissance de la voix chantée pourraient être utilisés pour obtenir des transcriptions directement à partir de la source audio. Ces approches sont usuellement adaptée

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Books on the topic "Cover song detection"

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W, Hall James. Under cover of daylight. Wheeler, 2001.

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W, Hall James. Under cover of daylight. Heinemann, 1988.

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Hall, James. Under Cover Of Daylight. Mandarin, 1991.

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Under Cover of Daylight. W.W. Norton, 2001.

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Book chapters on the topic "Cover song detection"

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Zupanc, Günther K. H. "Communication." In Behavioral Neurobiology. Oxford University Press, 2019. http://dx.doi.org/10.1093/hesc/9780198738725.003.0012.

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This chapter reviews the biological definition of communication and some of the sensory modalities involved in the detection of communication signals. It explains the concepts of true communication and mutualism, as well as the sensory modalities involved in communication. The discussion covers visual, acoustic, chemical, tactile, and electrical signals. Furthermore, the chapter focuses on two intensively studied model systems. One of the model systems is the neuroethology of cricket song where the mechanism and neural control of sound production are examined, and the concept of positive phono

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Rowson, Martin. "Was he Popenjoy?" In The Literary Detective. Oxford University PressNew York, NY, 2000. http://dx.doi.org/10.1093/oso/9780192100368.003.0023.

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Abstract Question-marks are everywhere in Is he Popenjoy?. They figure on the cover, at the head of chapters, and throughout the text. Questions are profusely interpolated into the authorial commentary and characters interrogate themselves and others constantly. There are, as I count them, some 1,175 question-marks speckling the narrative of Is he Popenjoy?. For what the statistic is worth, Barchester Towers, written twenty years earlier and much the same length, has only 626. The big question, of course, is the titular one. In the novel as it opens, Mary Lovelace, the daughter of an amiably c

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Conference papers on the topic "Cover song detection"

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Ye, Zhaoqin, Jaeyoung Choi, and Gerald Friedland. "Supervised Deep Hashing for Highly Efficient Cover Song Detection." In 2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2019. http://dx.doi.org/10.1109/mipr.2019.00049.

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Ravuri, Suman, and Daniel P. W. Ellis. "Cover song detection: From high scores to general classification." In 2010 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2010. http://dx.doi.org/10.1109/icassp.2010.5496214.

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Serrà, Joan, Holger Kantz, and Ralph G. Andrzejak. "Model-based cover song detection via threshold autoregressive forecasts." In 3rd international workshop. ACM Press, 2010. http://dx.doi.org/10.1145/1878003.1878008.

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O'Hanlon, Ken, Emmanouil Benetos, and Simon Dixon. "Detecting Cover Songs with Pitch Class Key-Invariant Networks." In 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2021. http://dx.doi.org/10.1109/mlsp52302.2021.9596389.

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Reports on the topic "Cover song detection"

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Hall, Linnea, Peter Larramendy, Lena Lee, and Annie Little. Landbird monitoring 2020 annual report: Channel Islands National Park. National Park Service, 2023. http://dx.doi.org/10.36967/2301088.

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The National Park Service (NPS) began monitoring landbirds at Channel Islands National Park in 1993 as part of its long-term inventory and monitoring program. The park?s landbird monitoring later became part of the NPS Inventory and Monitoring Division?s Mediterranean Coast Network long-term monitoring programs. Consequently, landbird monitoring has been conducted in the park during every breeding season since 1993. In this report, we summarize data collected during the 2020 breeding season. Landbird monitoring was conducted between 1 April and 30 June 2020. Using distance-based sampling metho

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