Literatura académica sobre el tema "Autotune"
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Artículos de revistas sobre el tema "Autotune"
Shen, Shih-Haur, Jiun-Sheng Wu y Cheng-Ching Yu. "Autotune Identification under Load Disturbance". Industrial & Engineering Chemistry Research 35, n.º 5 (enero de 1996): 1642–51. http://dx.doi.org/10.1021/ie950480g.
Texto completoLi, Wei, Esref Eskinat y William L. Luyben. "An improved autotune identification method". Industrial & Engineering Chemistry Research 30, n.º 7 (julio de 1991): 1530–41. http://dx.doi.org/10.1021/ie00055a019.
Texto completoBürgel, Michel y Kai Siedenburg. "Salience of Frequency Micro-modulations in Popular Music". Music Perception: An Interdisciplinary Journal 41, n.º 1 (1 de septiembre de 2023): 1–14. http://dx.doi.org/10.1525/mp.2023.41.1.1.
Texto completoLoquercio, Antonio, Alessandro Saviolo y Davide Scaramuzza. "AutoTune: Controller Tuning for High-Speed Flight". IEEE Robotics and Automation Letters 7, n.º 2 (abril de 2022): 4432–39. http://dx.doi.org/10.1109/lra.2022.3146897.
Texto completoDiao, Y., J. L. Hellerstein, S. Parekh y J. P. Bigus. "Managing Web server performance with AutoTune agents". IBM Systems Journal 42, n.º 1 (2003): 136–49. http://dx.doi.org/10.1147/sj.2003.5386833.
Texto completoShen, Shih-Haur, Hong-Den Yu y Cheng-Ching Yu. "Use of saturation-relay feedback for autotune identification". Chemical Engineering Science 51, n.º 8 (abril de 1996): 1187–98. http://dx.doi.org/10.1016/0009-2509(95)00371-1.
Texto completoBasha, S. H. Shabbeer, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee y Shiv Ram Dubey. "AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning". Neural Networks 133 (enero de 2021): 112–22. http://dx.doi.org/10.1016/j.neunet.2020.10.009.
Texto completoUlu, Burak, Sertaç Savaş, Ömer Faruk Ergin, Banu Ulu, Ahmet Kırnap, Mehmet Safa Bingöl y Şahin Yıldırım. "Tuning the Proportional–Integral–Derivative Control Parameters of Unmanned Aerial Vehicles Using Artificial Neural Networks for Point-to-Point Trajectory Approach". Sensors 24, n.º 9 (26 de abril de 2024): 2752. http://dx.doi.org/10.3390/s24092752.
Texto completoShahan, Cyrus. "The Birth of Autotune and the Loop of (West) German Identity". German Politics and Society 35, n.º 2 (1 de junio de 2017): 7–25. http://dx.doi.org/10.3167/gps.2017.350202.
Texto completoShen, Shih-Haur, Hong-Den Yu y Cheng-Ching Yu. "Autotune identification for systems with right-half-plane poles and zeros". Journal of Process Control 9, n.º 2 (abril de 1999): 161–69. http://dx.doi.org/10.1016/s0959-1524(98)00035-3.
Texto completoTesis sobre el tema "Autotune"
Tucker, Andrew J. "Design of perturbation signals and their application to autotune control". Thesis, University of Warwick, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246759.
Texto completoMolina, Villota Daniel Hernán. "Vocal audio effects : tuning, vocoders, interaction". Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS166.
Texto completoThis research focuses on the use of digital audio effects (DAFx) on vocal tracks in modern music, mainly pitch correction and vocoding. Despite its widespread use, there has not been enough discussion on how to improve autotune or what makes a pitch-modification more musically interesting. A taxonomic analysis of vocal effects has been conducted, demonstrating examples of how they can preserve or transform vocal identity and their musical use, particularly with pitch modification. Furthermore, a compendium of technical-musical terms has been developed to distinguish types of vocal tuning and cases of pitch correction. Additionally, a graphical correction method for vocal pitch correction is proposed. This method is validated with theoretical pitch curves (supported by audio) and compared with a reference method. Although the vocoder is essential for pitch correction, there is a lack of descriptive and comparative basis for vocoding techniques. Therefore, a sonic description of the vocoder is proposed, given its use for tuning, employing four different techniques: Antares, Retune, World, and Circe. Subsequently, a subjective psychoacoustic evaluation is conducted to compare the four systems in the following cases: original tone resynthesis, soft vocal correction, and extreme vocal correction. This psychoacoustic evaluation seeks to understand the coloring of each vocoder (preservation of vocal identity) and the role of melody in extreme vocal correction. Furthermore, a protocol for the subjective evaluation of pitch correction methods is proposed and implemented. This protocol compares our DPW pitch correction method with the ATA reference method. This study aims to determine if there are perceptual differences between the systems and in which cases they occur, which is useful for developing new melodic modification methods in the future. Finally, the interactive use of vocal effects has been explored, capturing hand movement with wireless sensors and mapping it to control effects that modify the perception of space and vocal melody
Bergqvist, Erik. "Spotify Autotunes". Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-201606.
Texto completoMusic consumption through digital streaming services like Spotify is increasing. This trend can also be seen in music consumption in cars. Many new auto manufacturers are starting to integrate streamed music services to new cars. For older cars where a integration is not available users rely on connecting their phone to the car's sound system. Smartphone applications are generally not designed for this purpose and in some countries illegal. Using a smartphone to stream music also consumes a lot of battery and mobile data. This report covers the concept study of a stand alone retro fitted car integration capable of streaming Spotify. A physical design, content strategy and interaction model has been developed and can beseen on page 27, 13 and 19 respectively. The concept study resulted in a stand alone product proposal capable of providing a music experience designed for driving conditions. The work is mainly based on design thinking methodology that focuses on human centered innovation. The interaction model and physical design has a high focus on innovation to provide a broad foundation for further development. This is an independent exploration for Spotify and not a statement on Spotify's future plans orstrategy.
Alme, Jon. "Autotuned Dynamic Positioning for Marine Surface Vessels". Thesis, Norwegian University of Science and Technology, Department of Engineering Cybernetics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-8861.
Texto completoDynamic positioning of surface vessels involves control of vessels with changing dynamics, shifting conditions, for different operational tasks. A controller with fixed controller parameters cannot have an optimal performance for all these different cases, and autotuning of the controller would be very valuable. However, dynamic positioning is a complex task, and thus automatic tuning of a dynamic positioning controller is not less so. This thesis does not solve all problems that comes with autotuning of dynamic positioning systems, but it gives an overview of the problem and presents a novel performance index for station keeping. Furthermore, a hybrid controller that can function as a first step in solving the autotuning problem is suggested. The hybrid controller has a fixed controller structure and is a combination of a gain-scheduling controller and an adaptive controller. The adaptive controller is used in an idle (training/learning) mode to populate a look-up table with controller parameters, while the gain-scheduling controller work as a fast-changing dynamical controller, using the controller parameters stored in the look-up table. Each controller parameter set in the look-up table is optimized according to a vessel operational condition, which is defined as a function of environmental conditions (wind, waves, ocean current), vessel draught, and water depth. Optimization of the controller parameters for the different vessel operational conditions is carried out by two different autotuning methods; a genetic algorithm and a rule-based algorithm. Both of these autotuning methods are optimizing the controller gains in a nonlinear PID-controller. The performance index and the two autotuning methods are implemented in Matlab/Simulink, where simulation tests are performed for a 3 DOF mathematical model of a supply vessel. The test scenario includes two different vessel operational conditions, where the controller has been automatically tuned both for minimal position and heading deviation as well as weighting on the use of forces. A comparison of the two autotuning methods is also performed and finally a discussion of the behaviour and tuning of the suggested performance index is carried out.
Sudakar, Madhavan. "Novel control techniques for a quadrotor based on the Sliding Mode Controller". University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613746605628363.
Texto completoNath, Rajib Kumar. "Accelerating Dense Linear Algebra for GPUs, Multicores and Hybrid Architectures: an Autotuned and Algorithmic Approach". 2010. http://trace.tennessee.edu/utk_gradthes/734.
Texto completoLibros sobre el tema "Autotune"
MaRue. Autotune. [Milan]: Bompiani, 2018.
Buscar texto completoBudge, E. A. Wallis (Ernest Alfred Wallis), Sir, 1857-1934 y British Museum. Department of Egyptian and Assyrian Antiquities, eds. The Tell el-Amarna tablets in the British Museum: With autotype facsimiles. [London]: Sold at the British Museum, 1986.
Buscar texto completoH, Evans J. Ornamental turning: A work of practical instruction in the above art ; with numerous engravings and autotype plates. Mendham, N.J: Astragal Press, 1993.
Buscar texto completoBerger, Ve ronique. Les de pendances affectives: Aimer et e tre soi. Paris: Eyrolles, 2007.
Buscar texto completoMastering AutoTune. Hal Leonard Publishing Corporation, 2013.
Buscar texto completoZimmer. Autotune: Scheduler 2020 Scheduler a5 Scheduler a5 2020 calendar 2020 Scheduler a5. Independently published, 2019.
Buscar texto completoCraig, John. Imperial approval for repro. 1985.
Buscar texto completoAutotype: A Decorative and Educational Art. Creative Media Partners, LLC, 2021.
Buscar texto completoO, Halliwell-Phillipps J. Shakespeare-Autotype Committee at Stratford-On-Avon: Transformation Scenes. and a Retrospect. Creative Media Partners, LLC, 2018.
Buscar texto completo§1 Autotuner Haben Immer Recht!: Taschenkalender Für Autotuner I A5 I 160 Seiten I Kalender I Wochenplaner I Jahresplaner I Tolles Geschenk Für Kollegen and Familie. Independently Published, 2021.
Buscar texto completoCapítulos de libros sobre el tema "Autotune"
Yu, Cheng-Ching. "Guidelines for Autotune Procedure". En Advances in Industrial Control, 205–19. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3636-1_10.
Texto completoMiceli, Renato, Gilles Civario, Anna Sikora, Eduardo César, Michael Gerndt, Houssam Haitof, Carmen Navarrete et al. "AutoTune: A Plugin-Driven Approach to the Automatic Tuning of Parallel Applications". En Applied Parallel and Scientific Computing, 328–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36803-5_24.
Texto completoBoucher, P., D. Dumur y S. Daumüller. "Autotuned Predictive Control". En Mutual Impact of Computing Power and Control Theory, 289–300. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2968-2_22.
Texto completoBonz, Jochen. "Die mimetische Erfahrung des Selbst als Ungekanntem. Überlegungen zum Autotune-Effekt als Phänomen der expressiven Kultur der Popmusik in den Nullerjahren". En Alltagsklänge – Einsätze einer Kulturanthropologie des Hörens, 63–79. Wiesbaden: Springer Fachmedien Wiesbaden, 2015. http://dx.doi.org/10.1007/978-3-658-00889-5_4.
Texto completoAgullo, Emmanuel, Jack Dongarra, Rajib Nath y Stanimire Tomov. "A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures". En Euro-Par 2011 Parallel Processing, 194–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23397-5_19.
Texto completoJaszczak, Sławomir y Joanna Kołodziejczyk. "An Industrial Fuzzy PID Autotuner Based on the Relay Method". En Artificial Intelligence and Soft Computing, 193–204. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07173-2_18.
Texto completo"autotune, v." En Oxford English Dictionary. 3a ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/2184957651.
Texto completoShahan, Cyrus. "The Birth of Autotune and the Loop of (West) German Identity". En Sounds German, 25–42. Berghahn Books, 2020. http://dx.doi.org/10.2307/j.ctv287sgr9.6.
Texto completoTownsend, Peter. "From Live Music to Electronic Offerings". En The Evolution of Music through Culture and Science, 151–66. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198848400.003.0010.
Texto completoShahan, Cyrus. "Chapter 2 The Birth of Autotune and the Loop of (West) German Identity". En Sounds German, 25–42. Berghahn Books, 2022. http://dx.doi.org/10.1515/9781789204735-004.
Texto completoActas de conferencias sobre el tema "Autotune"
Muresan, Cristina I., Marcian Mihai, Erwin Hegedus, Elisabeta Kozma y Isabela R. Birs. "Experimental Validation of a Fractional Order Autotuner for a Two Rotor Aerodynamical System". En 2024 American Control Conference (ACC), 3037–42. IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644935.
Texto completoKoch, Patrick, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin y Yan Xu. "Autotune". En KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219819.3219837.
Texto completoSingla, G., B. Delatti, A. Scarpato, J. Barracas, W. Wang y N. Demougeot. "Advanced Automated GT26 Combustion Tuning for Increased Operational Flexibility and Performance". En ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16086.
Texto completoKunjir, Mayuresh. "Guided Bayesian Optimization to AutoTune Memory-Based Analytics". En 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2019. http://dx.doi.org/10.1109/icdew.2019.00-22.
Texto completoDemougeot, Nicolas, Alexander Steinbrenner, Wenping Wang y Matt Yaquinto. "Digital Solutions for Power Plant Operators in a Dynamic Market Place: An Advanced Automated Gas Turbine Combustion Tuning for Low Emissions and Operational Flexibility". En ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91587.
Texto completoGodfrey, K. "The design of autotune controllers based on frequency domain identification". En UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960627.
Texto completoSheats, D. C. "Autotune of PID Temperature Control Based on Closed-loop Step Response Tests". En ADVANCES IN CRYOGENIC ENGINEERING: Transactions of the Cryogenic Engineering Conference - CEC. AIP, 2006. http://dx.doi.org/10.1063/1.2202424.
Texto completoMinh, Chanh Cao, Ernesto Bordon, Martin Hurliman, Anthony Lee Smithson, James Allen Kovats, Rob Badry, Michel Claverie et al. "Field-Test Results of the New Combinable Magnetic Resonance Autotune Logging Tool". En SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005. http://dx.doi.org/10.2118/96759-ms.
Texto completoDemougeot, Nicolas, Franklin van den Hout, Danny Grobbe y Wenping Wang. "A Proven Engine Optimizer for the Aeroderivative Industry: Challenges and Solutions". En ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-83026.
Texto completoLin, Yuhua y Haiying Shen. "Autotune: game-based adaptive bitrate streaming in P2P-assisted cloud-based vod systems". En 2015 IEEE International Conference on Peer-to-Peer Computing (P2P). IEEE, 2015. http://dx.doi.org/10.1109/p2p.2015.7328526.
Texto completoInformes sobre el tema "Autotune"
Jibonananda, Sanyal y Joshua New. Oak Ridge Institutional Cluster Autotune Test Drive Report. Office of Scientific and Technical Information (OSTI), febrero de 2014. http://dx.doi.org/10.2172/1146987.
Texto completoRanjan, Niloo, Jibonananda Sanyal y Joshua Ryan New. In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units. Office of Scientific and Technical Information (OSTI), agosto de 2013. http://dx.doi.org/10.2172/1093099.
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