Relevant bibliographies by topics / Sound data compression

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Sound data compression'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Sound data compression"

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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 (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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Liang, Zhenyu, Letian Chen, and Wenbin Xiao. "Compression AutoEncoder for High-Resolution Ocean Sound Speed Profile Data." Journal of Physics: Conference Series 2718, no. 1 (2024): 012067. http://dx.doi.org/10.1088/1742-6596/2718/1/012067.

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Abstract High-resolution ocean sound speed profile (HROSSP) data is essential for ocean acoustic modeling and sonar performance evaluation. However, the large volume and storage requirements of this data severely restrict its practical application in ocean acoustics. In this paper, we propose a compression autoencoder specifically designed for managing HROSSP data (CAE-HROSSP) and investigate the optimal network structure. Experimental results demonstrate that by using the min-max normalization method for input data and the corresponding inverse normalization for output data, along with employ
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Miyazawa, Takeo. "Rapid sound data compression in code book creation." Journal of the Acoustical Society of America 102, no. 4 (1997): 1925. http://dx.doi.org/10.1121/1.419666.

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Dahunsi, F. M., O. A. Somefun, A. A. Ponnle, and K. B. Adedeji. "Compression Techniques of Electrical Energy Data for Load Monitoring: A Review." Nigerian Journal of Technological Development 18, no. 3 (2021): 194–208. http://dx.doi.org/10.4314/njtd.v18i3.4.

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In recent years, the electric grid has experienced increasing deployment, use, and integration of smart meters and energy monitors. These devices transmit big time-series load data representing consumed electrical energy for load monitoring. However, load monitoring presents reactive issues concerning efficient processing, transmission, and storage. To promote improved efficiency and sustainability of the smart grid, one approach to manage this challenge is applying data-compression techniques. The subject of compressing electrical energy data (EED) has received quite an active interest in the
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Yan, Kaizhuang, Yongxian Wang, and Wenbin Xiao. "A New Compression and Storage Method for High-Resolution SSP Data Based-on Dictionary Learning." Journal of Marine Science and Engineering 10, no. 8 (2022): 1095. http://dx.doi.org/10.3390/jmse10081095.

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The sound speed profile data of seawater provide an important basis for carrying out underwater acoustic modeling and analysis, sonar performance evaluation, and underwater acoustic assistant decision-making. The data volume of the high-resolution sound speed profile is vast, and the demand for data storage space is high, which severely limits the analysis and application of the high-resolution sound speed profile data in the field of marine acoustics. This paper uses the dictionary learning method to achieve sparse coding of the high-resolution sound speed profile and uses a compressed sparse
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Akimov, V. A. "Remote technologies in Education. Compression algorithms and data formats for transmission of text, sound and video information." Izvestiya MGTU MAMI 7, no. 4-2 (2013): 352–55. http://dx.doi.org/10.17816/2074-0530-68284.

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The article describes the features of the application of compression algorithms of information in multimedia learning technologies. There are given the examples of lossy compression algorithms and lossless compression and basic formats of compression of text, graphics and audiovisual information. The analysis of the effectiveness of various algorithms and recommendations for their use in different types of information are presented. The example of Huffman coding is given.
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Nieminen, Heikki J., Juha Töyräs, Mikko S. Laasanen, and Jukka S. Jurvelin. "Acoustic properties of articular cartilage under mechanical stress." Biorheology: The Official Journal of the International Society of Biorheology 43, no. 3-4 (2006): 523–35. http://dx.doi.org/10.1177/0006355x2006043003004035.

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Mechano-acoustic and elastographic techniques may provide quantitative means for the in vivo diagnostics of articular cartilage. These techniques assume that sound speed does not change during tissue loading. As articular cartilage shows volumetric changes during compression, acoustic properties of cartilage may change affecting the validity of mechano-acoustic measurements. In this study, we examined the ultrasound propagation through human, bovine and porcine articular cartilage during stress-relaxation in unconfined compression. The time of flight (TOF) technique with known cartilage thickn
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Pittman, Andrea L., Ashley J. Pederson, and Madalyn A. Rash. "Effects of Fast, Slow, and Adaptive Amplitude Compression on Children’s and Adults’ Perception of Meaningful Acoustic Information." Journal of the American Academy of Audiology 25, no. 09 (2014): 834–47. http://dx.doi.org/10.3766/jaaa.25.9.6.

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Background: Fast- and slow-acting amplitude compression parameters have complementary strengths and weaknesses that limit the full benefit of this feature to hearing aid users. Adaptive time constants have been suggested in the literature as a means of optimizing the benefits of amplitude compression. Purpose: The purpose of this study was to compare the effects of three amplitude compression release times (slow, fast, and adaptive) on children’s and adults’ accuracy for categorizing speech and environmental sounds. Research Design: Participants were asked to categorize speech or environmental
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Ricketts, Todd, Wesley D. Grantham, Patrick D'Haese, Jason Edwards, and Amy Barco. "Cochlear Implant Speech Processor Placement and Compression Effects on Sound Sensitivity and Interaural Level Difference." Journal of the American Academy of Audiology 17, no. 02 (2006): 133–40. http://dx.doi.org/10.3766/jaaa.17.2.5.

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The purpose of this investigation was to determine the impact of commonly recommended cochlear implant (CI) speech processor placements on microphone output both with and without single channel front-end compression. The impact of this compression use on interaural level difference (ILD) magnitude was also evaluated for the ear-level position. Finally, pilot localization data collected with and without single channel front-end compression was collected on seven bilateral cochlear implant recipients. The results revealed that differences in signal audibility due to clinical placement of CI spee
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Gedeon, T. D. "Multimedia Information Compression Technologies." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 6 (2000): 401–2. http://dx.doi.org/10.20965/jaciii.2000.p0401.

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<em>Introduction</em> We are drowning in data. What kinds of data? - Text. Images. Sound. Numeric. Genome data. Text: Every day vast amounts of textual data are generated. This ranges from private corporate data, personal information, public and private government documents and so on. Much of this data needs to be accessed by many users for many tasks. For example, a corporate call centre needs fast access to documents at a semi-concept level to answer user requests. Another example: large litigations can involve 2 million documents, 200,000 of which are relevant, much fewer signif
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Dissertations / Theses on the topic "Sound data compression"

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Chen, Howard. "AZIP, audio compression system: Research on audio compression, comparison of psychoacoustic principles and genetic algorithms." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2617.

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The purpose of this project is to investigate the differences between psychoacoustic principles and genetic algorithms (GA0). These will be discussed separately. The review will also compare the compression ratio and the quality of the decompressed files decoded by these two methods.
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Крючко, Є. В., Юрій Олександрович Зубань, Юрий Александрович Зубань та Yurii Oleksandrovych Zuban. "Аналіз методів стиску аудіо даних та засобів їх реалізації". Thesis, Видавництво СумДУ, 2010. http://essuir.sumdu.edu.ua/handle/123456789/4015.

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Lui, Siu-Hang. "MIDI to SP-MIDI and I-melody transcoding using phrase stealing /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20LUI.

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Kursu, Sami. "Adaptiv nivåreglering: Dynamisk expansion av ljudsignaler i en reell arbetsmiljö." Thesis, Interactive Institute Piteå, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-24267.

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Bhutani, Meeta. "Comparison of DPCM and Subband Codec performance in the presence of burst errors." Thesis, 1998. http://hdl.handle.net/1957/33508.

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This thesis is a preliminary study of the relative performance of the major speech compression techniques, Differential Pulse Code Modulation (DPCM) and Subband Coding (SBC) in the presence of transmission distortion. The combined effect of the channel distortions and the channel codec including error correction is represented by bursts of bit errors. While compression is critical since bandwidth is scarce in a wireless channel, channel distortions are greater and less predictable. Little to no work has addressed the impact of channel errors on perceptual quality of speech due to the complexit
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Books on the topic "Sound data compression"

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Moreau, Nicolas. Tools for signal compression. ISTE, 2011.

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Bosi, Marina. Introduction to digital audio coding and standards. Kluwer Academic Publishers, 2002.

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Bosi, Marina. Introduction to digital audio coding and standards. Kluwer Academic Publishers, 2003.

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Bosi, Marina. Introduction to Digital Audio Coding and Standards. Springer US, 2003.

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Hans, Mathieu C. A fast integer implementation of an MPEG-I audio decoder. Hewlett-Packard Laboratories, Technical Publications Department, 1996.

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Brad, Gilmer, Society of Motion Picture and Television Engineers., and European Broadcasting Union, eds. File interchange handbook for images, audio, and metadata. Focal Press, 2004.

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Tools for signal compression. ISTE, 2011.

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Moreau, Nicolas. Tools for Signal Compression. Wiley & Sons, Incorporated, John, 2013.

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Moreau, Nicolas. Tools for Signal Compression: Applications to Speech and Audio Coding. Wiley & Sons, Incorporated, John, 2013.

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Moreau, Nicolas. Tools for Signal Compression: Applications to Speech and Audio Coding. Wiley & Sons, Incorporated, John, 2011.

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Book chapters on the topic "Sound data compression"

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Kumbhar, Pravin Y., and Shoba Krishnan. "Sound Data Compression Using Different Methods." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29219-4_12.

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Holmes, Dawn E. "3. Storing big data." In Big Data: A Very Short Introduction. Oxford University Press, 2017. http://dx.doi.org/10.1093/actrade/9780198779575.003.0003.

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The amount of data generated is approximately doubling every two years. How do we store and manage these colossal amounts of data? ‘Storing big data’ considers database storage and the idea of distributing tasks across clusters of computers. Relational database management systems are used to create, maintain, access, and manipulate structured data, whereas distributed file systems provide effective and reliable storage for unstructured data across many servers. NoSQL databases and their architecture are discussed along with the CAP Theorem and Cloud storage. The difference between lossless com
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Iwaki, Mamoru. "Information Hiding Using Interpolation for Audio and Speech Signals." In Advances in Multimedia and Interactive Technologies. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2217-3.ch004.

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In this chapter, a time-domain high-bit-rate information hiding method using interpolation techniques, which can extract embedded data in both informed (non-blind) and non-informed (blind) ways, is proposed. Three interpolation techniques are introduced for the information hiding method, i.e., spline interpolation, Fourier-series interpolation, and linear-prediction interpolation. In performance evaluation, spline interpolation was mainly examined as an example implementation. According to the simulation of information hiding in music signals, the spline interpolation-based method achieved aud
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Mihalas George, Paralescu Sorin, Andor Minodora, et al. "Tempolenses with Variable Magnification for Sonic Representation of Medical Data. Application for Cardiac Signals." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-240-0-78.

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The purpose of this study was to develop the tools and the methodology for a systematic analysis of usefulness of adding sonic representation of data, supplementary to visualization. This paper is mainly dedicated various temporal lenses, including the newly developed lenses with variable magnification, proposed as a tool for a better perception of short events combined with a compression of irrelevant intervals. Sonification procedures are also briefly presented. The programs were tested using various cardiac signals: ECG and heart rate HR both in humans and in rats (experimental data). The r
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Bilan, Mykola, and Andrii Bilan. "Research of Methods of Steganographic Protection of Audio Information Based on Video Containers." In Handbook of Research on Intelligent Data Processing and Information Security Systems. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1290-6.ch004.

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The chapter describes investigations of steganographic methods of information protection, which use containers represented by files in AVI format. MP3 audio files are selected as data that is embedded in the used container. For the introduction of audio data, the video container was divided into control and information parts. Secret data were embedded in the information part of the video file, which did not lead to distortions when the container file is played. Studies have been conducted to find repetitive blocks in the structure of a video container. The chapter analyzed the determination of
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Bourguet, Marie-Luce. "An Overview of Multimodal Interaction Techniques and Applications." In Human Computer Interaction. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-87828-991-9.ch008.

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Desktop multimedia (multimedia personal computers) dates from the early 1970s. At that time, the enabling force behind multimedia was the emergence of the new digital technologies in the form of digital text, sound, animation, photography, and, more recently, video. Nowadays, multimedia systems mostly are concerned with the compression and transmission of data over networks, large capacity and miniaturized storage devices, and quality of services; however, what fundamentally characterizes a multimedia application is that it does not understand the data (sound, graphics, video, etc.) that it ma
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Bourguet, Marie-Luce. "An Overview of Multimodal Interaction Techniques and Applications." In Encyclopedia of Human Computer Interaction. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-562-7.ch068.

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Desktop multimedia (multimedia personal computers) dates from the early 1970s. At that time, the enabling force behind multimedia was the emergence of the new digital technologies in the form of digital text, sound, animation, photography, and, more recently, video. Nowadays, multimedia systems mostly are concerned with the compression and transmission of data over networks, large capacity and miniaturized storage devices, and quality of services; however, what fundamentally characterizes a multimedia application is that it does not understand the data (sound, graphics, video, etc.) that it ma
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Conference papers on the topic "Sound data compression"

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Wang, Kaixuan, Di Song, and Feiyun Xu. "Analysis of Compressor Sound Propagation Characteristics Driven by Simulation and Actual Data." In 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing). IEEE, 2024. https://doi.org/10.1109/phm-beijing63284.2024.10874491.

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GERZON, MA. "MASKING OF CODING/DECODING ERRORS IN AUDIO DATA COMPRESSION SYSTEMS." In Reproduced Sound 1990. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/21414.

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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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TAKINAMI, H., T. WAKABAYASHI, N. HAYASHI, and K. NAKAMURA. "DATA COMPRESSION FOR SOUND LEVEL STORING." In Inter-Noise 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19459.

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Østergaard, Jan, Christian Pedersen, Mo Zhou, Niels de Koeijer, and Martin Møller. "Multiple Description Audio Coding for Wireless Low-Frequency Sound Zones." In 2023 Data Compression Conference (DCC). IEEE, 2023. http://dx.doi.org/10.1109/dcc55655.2023.00022.

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TAN, RKC, and MOJ HAWKSFORD. "DATA COMPRESSION ALGORITHMS FOR HIGH DEFINITION DIGITAL AUDIO USING MULTI-PULSE ADAPTIVE SUB-BAND CODING (MASC)." In Reproduced Sound 1991. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/21136.

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Ghose, Joyjeet, Vinay Sharma, and Surender Kumar. "Multi Functional Behavioural Analysis of Al-SiC Metal Matrix Composite Foam Produced by (TiH2-CaCO3) Dual Foaming Agent." In ASME 2010 International Manufacturing Science and Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/msec2010-34258.

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Aluminium alloy composite foams reinforced by 5% vol. SiC particles were fabricated with melt foaming route using TiH2-CaCO3 dual foaming agent. The compressive modulus and strength of two different relative density aluminium foams were investigated experimentally. An empirical relationship was established between normalized change in density and strain, using experimental data of compression tests up to different strain levels. Sound absorption property of the developed material was found out by impedance tube method. Acoustic test results indicate the potential of the material as sound absor
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Boness, David A., and Lucas Ware. "Birch’s law for high-pressure metals and ionic solids: Sound velocity data comparison between shock wave experiments and recent diamond anvil cell experiments." In SHOCK COMPRESSION OF CONDENSED MATTER - 2015: Proceedings of the Conference of the American Physical Society Topical Group on Shock Compression of Condensed Matter. Author(s), 2017. http://dx.doi.org/10.1063/1.4971550.

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Poynton, Charles A. "A Tutorial on Picture and Sound Compression, and an Introduction to JPEG and MPEG: Or, a Little Data can Go a Long Way!" In SMPTE Advanced Television and Electronic Imaging Conference. IEEE, 1992. http://dx.doi.org/10.5594/m00715.

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Vickers, Paul, and Robert Höldrich. "Direct Segmented Sonification of Characteristic Features of the Data Domain." In ICAD 2019: The 25th International Conference on Auditory Display. Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.043.

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Like audification, auditory graphs maintain the temporal relationships of data while using parameter mappings to represent the ordinate values. Such direct approaches have the advantage of presenting the data stream ‘as is’ without the imposed interpretations or accentuation of particular features found in indirect approaches. However, datasets can often be subdivided into short non-overlapping variable length segments that each encapsulate a discrete unit of domain-specific significant information and current direct approaches cannot represent these. We present Direct Segmented Sonification (DSSo
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Reports on the topic "Sound data compression"

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George and Hawley. PR-015-10602-R01 Effects of Liquid Contamination on Ultrasonic Flow Meter Performance. Pipeline Research Council International, Inc. (PRCI), 2012. http://dx.doi.org/10.55274/r0010787.

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A known cause of error in in-line ultrasonic meters is the presence of liquid contamination on transducer faces. These liquids can come from unconventional or poor-quality gas supplies, but compressor oil or glycol can also enter the natural gas stream due to problems with upstream equipment. It has been suspected that liquid contamination produces a fundamental measurement error in ultrasonic pulse transit time, which leads to biases in the measured sound speed of the gas and, ultimately, flow measurement errors. Operators presently observe such differences in measured sound speeds, but often
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