Добірка наукової літератури з теми "Autotune"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Autotune".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Autotune"
Shen, Shih-Haur, Jiun-Sheng Wu, and Cheng-Ching Yu. "Autotune Identification under Load Disturbance." Industrial & Engineering Chemistry Research 35, no. 5 (January 1996): 1642–51. http://dx.doi.org/10.1021/ie950480g.
Повний текст джерелаLi, Wei, Esref Eskinat, and William L. Luyben. "An improved autotune identification method." Industrial & Engineering Chemistry Research 30, no. 7 (July 1991): 1530–41. http://dx.doi.org/10.1021/ie00055a019.
Повний текст джерелаBürgel, Michel, and Kai Siedenburg. "Salience of Frequency Micro-modulations in Popular Music." Music Perception: An Interdisciplinary Journal 41, no. 1 (September 1, 2023): 1–14. http://dx.doi.org/10.1525/mp.2023.41.1.1.
Повний текст джерелаLoquercio, Antonio, Alessandro Saviolo, and Davide Scaramuzza. "AutoTune: Controller Tuning for High-Speed Flight." IEEE Robotics and Automation Letters 7, no. 2 (April 2022): 4432–39. http://dx.doi.org/10.1109/lra.2022.3146897.
Повний текст джерелаDiao, Y., J. L. Hellerstein, S. Parekh, and J. P. Bigus. "Managing Web server performance with AutoTune agents." IBM Systems Journal 42, no. 1 (2003): 136–49. http://dx.doi.org/10.1147/sj.2003.5386833.
Повний текст джерелаShen, Shih-Haur, Hong-Den Yu, and Cheng-Ching Yu. "Use of saturation-relay feedback for autotune identification." Chemical Engineering Science 51, no. 8 (April 1996): 1187–98. http://dx.doi.org/10.1016/0009-2509(95)00371-1.
Повний текст джерелаBasha, S. H. Shabbeer, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee, and Shiv Ram Dubey. "AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning." Neural Networks 133 (January 2021): 112–22. http://dx.doi.org/10.1016/j.neunet.2020.10.009.
Повний текст джерелаUlu, Burak, Sertaç Savaş, Ömer Faruk Ergin, Banu Ulu, Ahmet Kırnap, Mehmet Safa Bingöl, and 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, no. 9 (April 26, 2024): 2752. http://dx.doi.org/10.3390/s24092752.
Повний текст джерелаShahan, Cyrus. "The Birth of Autotune and the Loop of (West) German Identity." German Politics and Society 35, no. 2 (June 1, 2017): 7–25. http://dx.doi.org/10.3167/gps.2017.350202.
Повний текст джерелаShen, Shih-Haur, Hong-Den Yu, and Cheng-Ching Yu. "Autotune identification for systems with right-half-plane poles and zeros." Journal of Process Control 9, no. 2 (April 1999): 161–69. http://dx.doi.org/10.1016/s0959-1524(98)00035-3.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаMolina, Villota Daniel Hernán. "Vocal audio effects : tuning, vocoders, interaction." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS166.
Повний текст джерелаThis 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.
Повний текст джерелаMusic 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.
Повний текст джерелаDynamic 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.
Повний текст джерелаNath, 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.
Повний текст джерелаКниги з теми "Autotune"
MaRue. Autotune. [Milan]: Bompiani, 2018.
Знайти повний текст джерелаBudge, E. A. Wallis (Ernest Alfred Wallis), Sir, 1857-1934 and 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.
Знайти повний текст джерелаH, 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.
Знайти повний текст джерелаBerger, Ve ronique. Les de pendances affectives: Aimer et e tre soi. Paris: Eyrolles, 2007.
Знайти повний текст джерелаMastering AutoTune. Hal Leonard Publishing Corporation, 2013.
Знайти повний текст джерелаZimmer. Autotune: Scheduler 2020 Scheduler a5 Scheduler a5 2020 calendar 2020 Scheduler a5. Independently published, 2019.
Знайти повний текст джерелаCraig, John. Imperial approval for repro. 1985.
Знайти повний текст джерелаAutotype: A Decorative and Educational Art. Creative Media Partners, LLC, 2021.
Знайти повний текст джерелаO, Halliwell-Phillipps J. Shakespeare-Autotype Committee at Stratford-On-Avon: Transformation Scenes. and a Retrospect. Creative Media Partners, LLC, 2018.
Знайти повний текст джерела§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.
Знайти повний текст джерелаЧастини книг з теми "Autotune"
Yu, Cheng-Ching. "Guidelines for Autotune Procedure." In Advances in Industrial Control, 205–19. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-3636-1_10.
Повний текст джерелаMiceli, 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." In 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.
Повний текст джерелаBoucher, P., D. Dumur, and S. Daumüller. "Autotuned Predictive Control." In 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.
Повний текст джерелаBonz, Jochen. "Die mimetische Erfahrung des Selbst als Ungekanntem. Überlegungen zum Autotune-Effekt als Phänomen der expressiven Kultur der Popmusik in den Nullerjahren." In 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.
Повний текст джерелаAgullo, Emmanuel, Jack Dongarra, Rajib Nath, and Stanimire Tomov. "A Fully Empirical Autotuned Dense QR Factorization for Multicore Architectures." In 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.
Повний текст джерелаJaszczak, Sławomir, and Joanna Kołodziejczyk. "An Industrial Fuzzy PID Autotuner Based on the Relay Method." In Artificial Intelligence and Soft Computing, 193–204. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07173-2_18.
Повний текст джерела"autotune, v." In Oxford English Dictionary. 3rd ed. Oxford University Press, 2023. http://dx.doi.org/10.1093/oed/2184957651.
Повний текст джерелаShahan, Cyrus. "The Birth of Autotune and the Loop of (West) German Identity." In Sounds German, 25–42. Berghahn Books, 2020. http://dx.doi.org/10.2307/j.ctv287sgr9.6.
Повний текст джерелаTownsend, Peter. "From Live Music to Electronic Offerings." In The Evolution of Music through Culture and Science, 151–66. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198848400.003.0010.
Повний текст джерелаShahan, Cyrus. "Chapter 2 The Birth of Autotune and the Loop of (West) German Identity." In Sounds German, 25–42. Berghahn Books, 2022. http://dx.doi.org/10.1515/9781789204735-004.
Повний текст джерелаТези доповідей конференцій з теми "Autotune"
Muresan, Cristina I., Marcian Mihai, Erwin Hegedus, Elisabeta Kozma, and Isabela R. Birs. "Experimental Validation of a Fractional Order Autotuner for a Two Rotor Aerodynamical System." In 2024 American Control Conference (ACC), 3037–42. IEEE, 2024. http://dx.doi.org/10.23919/acc60939.2024.10644935.
Повний текст джерелаKoch, Patrick, Oleg Golovidov, Steven Gardner, Brett Wujek, Joshua Griffin, and Yan Xu. "Autotune." In 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.
Повний текст джерелаSingla, G., B. Delatti, A. Scarpato, J. Barracas, W. Wang, and N. Demougeot. "Advanced Automated GT26 Combustion Tuning for Increased Operational Flexibility and Performance." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-16086.
Повний текст джерелаKunjir, Mayuresh. "Guided Bayesian Optimization to AutoTune Memory-Based Analytics." In 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW). IEEE, 2019. http://dx.doi.org/10.1109/icdew.2019.00-22.
Повний текст джерелаDemougeot, Nicolas, Alexander Steinbrenner, Wenping Wang, and 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." In ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gt2019-91587.
Повний текст джерелаGodfrey, K. "The design of autotune controllers based on frequency domain identification." In UKACC International Conference on Control. Control '96. IEE, 1996. http://dx.doi.org/10.1049/cp:19960627.
Повний текст джерелаSheats, D. C. "Autotune of PID Temperature Control Based on Closed-loop Step Response Tests." In ADVANCES IN CRYOGENIC ENGINEERING: Transactions of the Cryogenic Engineering Conference - CEC. AIP, 2006. http://dx.doi.org/10.1063/1.2202424.
Повний текст джерелаMinh, 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." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005. http://dx.doi.org/10.2118/96759-ms.
Повний текст джерелаDemougeot, Nicolas, Franklin van den Hout, Danny Grobbe, and Wenping Wang. "A Proven Engine Optimizer for the Aeroderivative Industry: Challenges and Solutions." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-83026.
Повний текст джерелаLin, Yuhua, and Haiying Shen. "Autotune: game-based adaptive bitrate streaming in P2P-assisted cloud-based vod systems." In 2015 IEEE International Conference on Peer-to-Peer Computing (P2P). IEEE, 2015. http://dx.doi.org/10.1109/p2p.2015.7328526.
Повний текст джерелаЗвіти організацій з теми "Autotune"
Jibonananda, Sanyal, and Joshua New. Oak Ridge Institutional Cluster Autotune Test Drive Report. Office of Scientific and Technical Information (OSTI), February 2014. http://dx.doi.org/10.2172/1146987.
Повний текст джерелаRanjan, Niloo, Jibonananda Sanyal, and Joshua Ryan New. In-Situ Statistical Analysis of Autotune Simulation Data using Graphical Processing Units. Office of Scientific and Technical Information (OSTI), August 2013. http://dx.doi.org/10.2172/1093099.
Повний текст джерела