Bibliografías temáticas / Sound data

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Literatura académica sobre el tema "Sound data"

Autor: Grafiati
Publicado: 4 de junio de 2021
Última modificación: 20 de febrero de 2023

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Artículos de revistas sobre el tema "Sound data"

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NARA, SHIGETOSHI, NAOYA ABE, MASATO WADA, and JOUSUKE KUROIWA. "A NOVEL METHOD OF SOUND DATA DESCRIPTION BY MEANS OF CELLULAR AUTOMATA AND ITS APPLICATION TO DATA COMPRESSION." International Journal of Bifurcation and Chaos 09, no. 06 (June 1999): 1211–17. http://dx.doi.org/10.1142/s0218127499000869.

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A novel method of binary data description using cellular automata is proposed. As an actual example, several trials are made to describe vocal and musical sound data digitized in a standard data format. The reproduced sounds are evaluated by "actual listening", by calculating "the signal to noise ratio" with respect to the original sound data, and by comparing "the Fourier power spectra" with those of the original sounds. The results show that this method is quite effective and provides a new means of data compression applicable in any field of digital data recording or transferring.
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BAKIR, Çiğdem. "Compressing English Speech Data with Hybrid Methods without Data Loss." International Journal of Applied Mathematics Electronics and Computers 10, no. 3 (September 30, 2022): 68–75. http://dx.doi.org/10.18100/ijamec.1166951.

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Understanding the mechanism of speech formation is of great importance in the successful coding of the speech signal. It is also used for various applications, from authenticating audio files to connecting speech recording to data acquisition device (e.g. microphone). Speech coding is of vital importance in the acquisition, analysis and evaluation of sound, and in the investigation of criminal events in forensics. For the collection, processing, analysis, extraction and evaluation of speech or sounds recorded as audio files, which play an important role in crime detection, it is necessary to c
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Kim, Eunbeen, Jaeuk Moon, Jonghwa Shim, and Eenjun Hwang. "DualDiscWaveGAN-Based Data Augmentation Scheme for Animal Sound Classification." Sensors 23, no. 4 (February 10, 2023): 2024. http://dx.doi.org/10.3390/s23042024.

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Animal sound classification (ASC) refers to the automatic identification of animal categories by sound, and is useful for monitoring rare or elusive wildlife. Thus far, deep-learning-based models have shown good performance in ASC when training data is sufficient, but suffer from severe performance degradation if not. Recently, generative adversarial networks (GANs) have shown the potential to solve this problem by generating virtual data. However, in a multi-class environment, existing GAN-based methods need to construct separate generative models for each class. Additionally, they only consi
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Han, Hong-Su. "Sound data interpolating circuit." Journal of the Acoustical Society of America 100, no. 2 (1996): 692. http://dx.doi.org/10.1121/1.416225.

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Son, Myoung-Jin, and Seok-Pil Lee. "COVID-19 Diagnosis from Crowdsourced Cough Sound Data." Applied Sciences 12, no. 4 (February 9, 2022): 1795. http://dx.doi.org/10.3390/app12041795.

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The highly contagious and rapidly mutating COVID-19 virus is affecting individuals worldwide. A rapid and large-scale method for COVID-19 testing is needed to prevent infection. Cough testing using AI has been shown to be potentially valuable. In this paper, we propose a COVID-19 diagnostic method based on an AI cough test. We used only crowdsourced cough sound data to distinguish between the cough sound of COVID-19-positive people and that of healthy people. First, we used the COUGHVID cough database to segment only the cough sound from the original cough data. An effective audio feature set
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Yamamoto, Takaharu. "Digital sound data storing device." Journal of the Acoustical Society of America 93, no. 1 (January 1993): 596. http://dx.doi.org/10.1121/1.405540.

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Osborne, D. W. "Sound and data on DBS." Electronics and Power 31, no. 6 (1985): 449. http://dx.doi.org/10.1049/ep.1985.0283.

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Kaper, H. G., E. Wiebel, and S. Tipei. "Data sonification and sound visualization." Computing in Science & Engineering 1, no. 4 (1999): 48–58. http://dx.doi.org/10.1109/5992.774840.

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Suhartini, Endang, Murdianto Murdianto, and Nanik Setyowati. "OPTIMALISASI PELAYANAN BINA KOMUNIKASI MELALUI PROGRAM PERSEPSI BUNYI DAN IRAMA (BKPBI), UNTUK ANAK YANG BERKEBUTUHAN KUSUS TUNARUNGGU DI SDLB NEGERI JENANGAN PONOROGO." BASICA: Journal of Arts and Science in Primary Education 1, no. 1 (May 15, 2021): 58–71. http://dx.doi.org/10.37680/basica.v1i1.777.

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Children with special needs are children with different characteristics from normal children in general. Especially deaf children are children who have impaired hearing either totally or have residual hearing. Deaf communication requires services that can support their communication difficulties. In this case SDLB Negeri Jenang Ponorogo organized a communication development program with Communication Development through the Sound and Rhythm Perception Program (BKPBI). In this study the author is intended to discuss more about; Forms of service stages, learning implementation strategies and ser
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Roelandt, N., P. Aumond, and L. Moisan. "CROWDSOURCED ACOUSTIC OPEN DATA ANALYSIS WITH FOSS4G TOOLS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 387–93. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-387-2022.

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Abstract. NoiseCapture is an Android application developed by the Gustave Eiffel University and the French National Centre for Scientific Research as central element of a participatory approach to environmental noise mapping. The application is open-source, and all its data are available freely. This study presents the results of the first exploratory analysis of 3 years of data collection through the lens of sound sources. This analysis is only based on the tags given by the users and not on the sound spectrum of the measurement, which will be studied at a later stage. The first results are e
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Tesis sobre el tema "Sound data"

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Hebden, John Edward. "Acquisition and analysis of heart sound data." Thesis, University of Sussex, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360518.

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Bearman, N. "Using sound to represent uncertainty in spatial data." Thesis, University of East Anglia, 2013. https://ueaeprints.uea.ac.uk/52676/.

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There is a limit to the amount of spatial data that can be shown visually in an effective manner, particularly when the data sets are extensive or complex. Using sound to represent some of these data (sonification) is a way of avoiding visual overload. This thesis creates a conceptual model showing how sonification can be used to represent spatial data and evaluates a number of elements within the conceptual model. These are examined in three different case studies to assess the effectiveness of the sonifications. Current methods of using sonification to represent spatial data have been restri
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Diaz, Merced Wanda Liz. "Sound for the exploration of space physics data." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/5804/.

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Current analysis techniques for space physics 2D numerical data are based on scruti-nising the data with the eyes. Space physics data sets acquired from the natural lab of the interstellar medium may contain events that may be masked by noise making it difficult to identify. This thesis presents research on the use of sound as an adjunct to current data visualisation techniques to explore, analyse and augment signatures in space physics data. This research presents a new sonification technique to decom-pose a space physics data set into different components (frequency, oscillatory modes, etc…)
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Durey, Adriane Swalm. "Melody spotting using hidden Markov models." Diss., Available online, Georgia Institute of Technology, 2004:, 2003. http://etd.gatech.edu/theses/available/etd-04082004-180126/unrestricted/durey%5Fadriane%5Fs%5F200312%5Fphd.pdf.

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Smith, Adrian Wilfrid. "A distributed approach to surround sound production." Thesis, Rhodes University, 1999. http://hdl.handle.net/10962/d1004855.

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The requirement for multi-channel surround sound in audio production applications is growing rapidly. Audio processing in these applications can be costly, particularly in multi-channel systems. A distributed approach is proposed for the development of a realtime spatialization system for surround sound music production, using Ambisonic surround sound methods. The latency in the system is analyzed, with a focus on the audio processing and network delays, in order to ascertain the feasibility of an enhanced, distributed real-time spatialization system.
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Stensholt, Håkon Meyer. "Sound Meets Type : Exploring the form generating qualities of sound as input for a new typography." Thesis, Konstfack, Grafisk Design & Illustration, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:konstfack:diva-4761.

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How can you create new letterforms using sound as input? In Sound meets Type, have I studied the form generating qualities of sound as input for a new typography. Through history the technological development has provoked new approaches to type design, which in turn has evolved letterforms. By using generative systems to search for letterforms in a contemporary and technological context, I have created a customized software that uses the data inherent in sound as a form generator for possible new letterforms. The software is developed by using a language called Javascript.  The thesis consist
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Manekar, Vedang V. M. S. "Development of a Low-cost Data Acquisition System using a Sound Card." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554121267971882.

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Berglund, Alexander, Fredrik Herbai, and Jonas Wedén. "Sound Propagation Through Walls." Thesis, Uppsala universitet, Avdelningen för beräkningsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444632.

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Infrasound is undetectable by the human ear and excessive exposure may be a substantial health risk. Low frequency sound propagates through walls with minimal attenuation, making it difficult to avoid. This study interprets the results from both analytical calculations and simulations of pressure waves propagating through a wall in one dimension. The wall is thin compared to the wavelength; the model implements properties of three materials commonly used in walls. The results indicate that the geometry of the wall, most importantly the small ratio between wall width and wavelength, is the prim
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Ashraf, Pouya. "Improving Spatial Sound Capturing on Mobile Devices Through Fusion of Inertial Measurement Data." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-372151.

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Through the use of sensor arrays it is possible to extract spatial information about signals present in the environment. For instance position, velocity, distance, etc. In this thesis we focus on the use of microphone arrays with the aim of accurately determining, and over time track, the Direction of Arrival (DoA) of nearby sound signals impinging on the array. As modern mobile devices like smartphones and tablets are commonly equipped with two or more microphones, these constitute a simple microphone array. This gives us the opportunity of attaining the above aim. However, in the scenario th
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Kesterton, Anthony James. "The synthesis of sound with application in a MIDI environment." Thesis, Rhodes University, 1991. http://hdl.handle.net/10962/d1006701.

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The wide range of options for experimentation with the synthesis of sound are usually expensive, difficult to obtain, or limit the experimenter. The work described in this thesis shows how the IBM PC and software can be combined to provide a suitable platform for experimentation with different synthesis techniques. This platform is based on the PC, the Musical Instrument Digital Interface (MIDI) and a musical instrument called a digital sampler. The fundamental concepts of sound are described, with reference to digital sound reproduction. A number of synthesis techniques are described. These a
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Libros sobre el tema "Sound data"

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The Sound on sound book of MIDI for the technophobe. London: Sanctuary Publishing, 1997.

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Yavelow, Christopher. Macworldmusic & sound bible. San Mateo, Calif: IDG Books, 1992.

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1963-, Miranda Eduardo Reck, ed. Computer sound design: Synthesis techniques and programming. 2nd ed. Boston, Mass: Focal Press, 2002.

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Semiconductors, ITT. MSP 3410D: Multistandard sound processor : preliminary data sheet. Freiburg: ITT Semiconductors, 1997.

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The sound on sound book of live sound for the performing musician. London: Sanctuary Publishing, 1998.

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Semiconductors, ITT. MSP 3400 C: Multistandard sound processor : preliminary data sheet. Freiburg: ITT Semiconductors, 1995.

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E, Ffowcs Williams John, Schultz Martin H, Pierce Allan D, and Lee Ding 1925-, eds. International Conference on Theoretical and Computational Acoustics: Mystic Hilton, Mystic, Connecticut, USA, 5-9 July 1993. Singapore: World Scientific, 1994.

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Media composer 6: Professional picture and sound editing. Boston, MA: Course Technology, Cengage Learning, 2013.

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Computational atmospheric acoustics. Dordrecht: Kluwer Academic Publishers, 2001.

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Macworld music & sound bible. San Mateo, Calif: IDG Books, 1992.

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Capítulos de libros sobre el tema "Sound data"

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Eargle, John M. "Sound Pressure and dB Lp (Sound Pressure Level)." In Electroacoustical Reference Data, 2–3. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2027-6_1.

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Rumsey, Francis, and Tim McCormick. "Audio Data Reduction." In Sound and Recording, 295–318. 8th ed. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003092919-9.

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Eargle, John M. "Fresnel Diffraction Over Sound Barriers." In Electroacoustical Reference Data, 32–33. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2027-6_16.

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Eargle, John M. "Sound Transmission Class (STC) Curves." In Electroacoustical Reference Data, 18–19. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2027-6_9.

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Anand, S. Abhishek, and Nitesh Saxena. "A Sound for a Sound: Mitigating Acoustic Side Channel Attacks on Password Keystrokes with Active Sounds." In Financial Cryptography and Data Security, 346–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-54970-4_21.

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Lee, Ook. "Mobile Data Management with Sound." In Advances in Web-Age Information Management, 610–15. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27772-9_61.

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Eargle, John M. "Sound Attenuation over Distance in Semireverberant Spaces." In Electroacoustical Reference Data, 44–45. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2027-6_22.

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Smith, Leslie S. "Data-driven Sound Interpretation: its Application to Voiced Sounds." In Workshops in Computing, 147–54. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-4471-3579-1_12.

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Glattetre, John. "Some Aspects of Sound Propagation in Shallow Water: Estimation of Source- and Sound Chanel Parameters." In Underwater Acoustic Data Processing, 125–40. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_13.

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Last, Mark, and Anna Usyskin. "Listen to the Sound of Data." In Multimedia Data Mining and Analytics, 419–46. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14998-1_19.

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Actas de conferencias sobre el tema "Sound data"

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Dover, Ian, Jawad Almaatouk, Chad Baker, and John Ventura. "Data-Over-Sound Robot." In International Engineering Science Technology Online Conference. CLOUD PUBLICATIONS, 2020. http://dx.doi.org/10.23953/cloud.iestoc.468.

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Faudemay, Pascal, Claude Montacie, and Marie-Jose Caraty. "Video indexing based on image and sound." In Voice, Video, and Data Communications, edited by C. C. Jay Kuo, Shih-Fu Chang, and Venkat N. Gudivada. SPIE, 1997. http://dx.doi.org/10.1117/12.290365.

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Krekovic, Miranda, Gilles Baechler, Ivan Dokmanic, and Martin Vetterli. "Structure from Sound with Incomplete Data." In ICASSP 2018 - 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2018. http://dx.doi.org/10.1109/icassp.2018.8462559.

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Dindar, Halil Ozgen, and Gokhan Dalkilic. "Indoor Event Detection with Sound Data." In 2021 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2021. http://dx.doi.org/10.1109/asyu52992.2021.9599045.

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Martens, Susanne, Tobias Bohne, and Raimund Rolfes. "An evaluation method for extensive wind turbine sound measurement data and its application." In 18th International Symposium on Long Range Sound Propagation. ASA, 2020. http://dx.doi.org/10.1121/2.0001326.

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Hämäläinen, Wilhelmiina, and Geoffrey I. Webb. "Statistically sound pattern discovery." In KDD '14: The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2623330.2630812.

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Hermann, Thomas, and Marian Weger. "Data-driven Auditory Contrast Enhancement for Everyday Sounds and Sonifications." In ICAD 2019: The 25th International Conference on Auditory Display. Newcastle upon Tyne, United Kingdom: Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.005.

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We introduce Auditory Contrast Enhancement (ACE) as a technique to enhance sounds at hand of a given collection of sound or sonification examples that belong to different classes, such as sounds of machines with and without a certain malfunction, or medical data sonifications for different pathologies/conditions. A frequent use case in inductive data mining is the discovery of patterns in which such groups can be discerned, to guide subsequent paths for modelling and feature extraction. ACE provides researchers with a set of methods to render focussed auditory perspectives that accentuate inte
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Deng, Shuhao, and Changchun Bao. "DNN-based Multi-Channel Speech Coding Employing Sound Localization." In 2022 Data Compression Conference (DCC). IEEE, 2022. http://dx.doi.org/10.1109/dcc52660.2022.00062.

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Fayek, Haytham M., and Anurag Kumar. "Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/78.

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Recognizing sounds is a key aspect of computational audio scene analysis and machine perception. In this paper, we advocate that sound recognition is inherently a multi-modal audiovisual task in that it is easier to differentiate sounds using both the audio and visual modalities as opposed to one or the other. We present an audiovisual fusion model that learns to recognize sounds from weakly labeled video recordings. The proposed fusion model utilizes an attention mechanism to dynamically combine the outputs of the individual audio and visual models. Experiments on the large scale sound events
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Kim, Soohyun, Hyunsu Mun, and Youngseok Lee. "A Data-Over-Sound Application: Attendance Book." In 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS). IEEE, 2019. http://dx.doi.org/10.23919/apnoms.2019.8892996.

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Informes sobre el tema "Sound data"

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Berman, David H. Sound Speed Profiles from Vertical Array Data. Fort Belvoir, VA: Defense Technical Information Center, March 1994. http://dx.doi.org/10.21236/ada283978.

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Berman, David H. Sound Speed Profiles from Vertical Array Data. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada267300.

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Fagerburg, Timothy L., Clara J. Coleman, Joseph W. Parman, and George M. Fisackerly. Cumberland Sound Monitoring. Report 2. 1989 Data Collection Report. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada241238.

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Sherin, A. G., I. A. Hardy, S. Merchant, D. E. Beaver, D. Holt, and M. Cash. A 35 mm microfilm compilation of collected bathymetry data from Cruise 77024, Labrador Sea, Davis Strait, Baffin Bay, Lancaster Sound, Jones Sound and Smith Sound, eastern Arctic. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1989. http://dx.doi.org/10.4095/130844.

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Younglove, B. A., N. V. Frederick, and R. D. McCarty. Speed of sound data and related models for mixtures of natural gas constituents. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.mono.178.

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Sedore, P., A. Normandeau, V. Maselli, and K. Regular. Bathymetry of Pangnirtung Fiord, Cumberland Sound, Nunavut. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329614.

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This map depicts the multibeam bathymetry data acquired in September 2019 onboard the R/V Nuliajuk in Pangnirtung Fiord, Cumberland Sound. The mapped area extends from the head of the fiord, where the Weasel River drains the surrounding highlands, to Cumberland Sound. The Hamlet of Pangnirtung rests on the SE shore of Pangnirtung Fiord. Glacial landforms and modern sediment processes are identified throughout the fiord using sub-bottom profiles and multibeam bathymetry.
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Ricketts, B. D., and D. J. McIntyre. The Eureka Sound Group of eastern Axel Heiberg Island: New Data On the Eurekan Orogeny. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/120786.

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Ferguson, Matthew, and Marin Kress. AIS data case study : dredge material placement site evaluation in Frederick Sound near Petersburg, Alaska. Engineer Research and Development Center (U.S.), May 2022. http://dx.doi.org/10.21079/11681/44141.

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The purpose of this Coastal and Hydraulics Laboratory Technical Note (CHETN) is to present an application of historic vessel position information acquired through the Automatic Identification System (AIS), which provides geo-referenced and time-stamped vessel position information. The US Army Corps of Engineers, Alaska District (POA), needed to evaluate potential placement sites for dredged material near Petersburg, AK, and possible impacts to navigation were considered as part of the evaluation process.
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Job, Jacob. Mesa Verde National Park: Acoustic monitoring report. National Park Service, July 2021. http://dx.doi.org/10.36967/nrr-2286703.

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In 2015, the Natural Sounds and Night Skies Division (NSNSD) received a request to collect baseline acoustical data at Mesa Verde National Park (MEVE). Between July and August 2015, as well as February and March 2016, three acoustical monitoring systems were deployed throughout the park, however one site (MEVE002) stopped recording after a couple days during the summer due to wildlife interference. The goal of the study was to establish a baseline soundscape inventory of backcountry and frontcountry sites within the park. This inventory will be used to establish indicators and thresholds of so
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Chamberlain, C. A., and K. Lochhead. Data modeling as applied to surveying and mapping data. Natural Resources Canada/CMSS/Information Management, 1988. http://dx.doi.org/10.4095/331263.

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The Geodetic Survey Division of the Canada Centre for Surveying is replacing the National Geodetic Data Base (NGDB) with the National Geodetic Information System (NGIS). For the NGIS to be successful, it was recognized that a sound, well engineered data mode was essential. The methodology chosen to design the data mode! was Nijssen's Information Analysis Methodology (NIAM), a binary modeling technique that is supported by a Computer Aided Software Engineering (CASE) tool, PC-IAST. An NGIS prototype has also been developed using Digital Equipment of Canada's Relational Database (Rdb) management
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