Improving the Aesthetic Quality of Realtime Motion Data Sonification

Total Page:16

File Type:pdf, Size:1020Kb

Improving the Aesthetic Quality of Realtime Motion Data Sonification Computer Graphics Technical Reports CG-2007-4 Improving the Aesthetic Quality of Realtime Motion Data Sonification Christoph Henkelmann Computer Science Dept. II, University of Bonn, R¨omerstr. 164, D-53117 Bonn, Germany [email protected] Institut f¨urInformatik II Universit¨at Bonn D-53117 Bonn, Germany c Universit¨atBonn 2007 ISSN 1610-8892 ii CONTENTS 1. Introduction ............................... 1 1.1 Previous work . 3 1.2 Overview . 5 1.3 Used software . 6 2. The Basics ................................ 9 2.1 Definitions and Human Hearing . 9 2.1.1 Data and Audio Streams . 9 2.1.2 Frequency and Pitch . 10 2.1.3 Measures of Amplitude . 11 2.1.4 Timbre . 12 2.1.5 Masking and Psychoacoustics . 13 2.2 Sonification . 13 2.2.1 Audification . 13 2.2.2 Earcons and Auditory Icons . 14 2.2.3 Audio Beacons . 15 2.2.4 Model-based Sonification . 15 2.2.5 Parameter Mapping Sonification . 15 2.3 Summary . 16 3. Implementation of Realtime Sonification ............... 17 3.1 Sonification and MIDI . 17 3.2 Sonification and OSC . 20 3.3 Choosing an Appropriate Sonification Tool . 21 3.4 How Pd Works . 25 3.5 Using Pd as a Sonification Tool . 29 3.5.1 Loading and Saving Settings . 29 3.5.2 Scaling of Motion Data . 33 3.5.3 Audio Utilities . 34 3.6 Making Motion Data Available in Pd . 34 3.6.1 Input from Files . 34 3.6.2 Input via TCP/IP . 35 iv Contents 3.6.3 Input from Rowing Machine sensors . 36 3.7 Summary . 38 4. Continuous Parameter Mapping Sonification ............. 39 4.1 Audio Artifacts . 40 4.1.1 Zipper Noise . 40 4.1.2 Foldover . 42 4.2 Modulation of Pitch . 43 4.2.1 Formant Shift . 43 4.2.2 Problems with Musical Perception . 48 4.3 Modulation of Amplitude . 50 4.4 Modulation of Timbre . 51 4.4.1 Subtractive Synthesis . 52 4.4.2 Waveshaping and Frequency Modulation . 53 4.4.3 Formants & Vocal Sounds . 61 4.4.4 The Tristimulus Model . 64 4.5 Spatial Positioning . 70 4.6 Maintaining a Constant Amplitude . 71 4.7 Summary . 72 5. Applications ............................... 75 5.1 Rowing Motion Sonifications . 76 5.2 Walking Motion Sonifications . 77 6. A More Musical Approach ....................... 81 6.1 A “Musical” Sonification? . 81 6.2 Applying Sonification to Paradigms of Western European Music 82 6.3 A Melodic Sonification . 84 6.4 Re-introducing Fine Grained Parameter Mapping . 86 6.5 Creating Harmonic Progress . 86 6.6 Summary . 88 7. Further Prospects ............................ 91 7.1 MotionLab and OSC . 91 7.2 More Sound Based Methods . 92 7.3 Sophisticated Sound Design . 92 7.4 More General Methods for Audio Rendering . 93 7.5 Need for Psychoacoustic Evaluation . 94 7.6 Conclusion . 94 Contents v Appendix 95 A. List of Pd abstractions and externals ................. 97 A.1 arpeggiator ........................... 97 A.2 arpeggiator scale ........................ 98 A.3 channel ............................ 98 A.4 clipping ............................ 98 A.5 crossfading loop sampler .................... 98 A.6 derivative ........................... 99 A.7 ergometer ........................... 99 A.8 ergometer input ........................100 A.9 file input . 100 A.10 floatmap ............................100 A.11 fm1 ..............................101 A.12 hold note ............................101 A.13 master .............................101 A.14 median .............................102 A.15 midi channel . 102 A.16 norm mapping .........................102 A.17 paf ...............................103 A.18 paf vowel ............................103 A.19 pink noise . 103 A.20 reverb .............................104 A.21 sampleloop . 104 A.22 sampleloop filter ........................104 A.23 settings ............................104 A.24 sine pitch . 105 A.25 sonify bend . 105 A.26 sonify control .........................105 A.27 sonify note cont ........................105 A.28 sonify note dis .........................106 A.29 sonify scale . 106 A.30 ssymbol ............................107 A.31 subtractive1 . 107 A.32 subtractive2 . 107 A.33 subtractive3 . 107 A.34 subtractive4 . 108 A.35 subtractive5 . 108 A.36 sv ...............................108 A.37 tristimulus . 108 A.38 tristimulus model .......................109 vi Contents A.39 waveshaping1 . 109 B. Pitch Ranges .............................. 111 C. Audio Examples ............................ 113 Bibliography ................................ 123 1. INTRODUCTION Everybody is familiar with the subject of visualization. We all have seen numerous charts, diagrams, icons and other kinds of abstract graphic repre- sentations of information. If we see a chart relating e.g., income to taxes, or age to cancer risk, we immediately have an understanding of the structure of the corresponding dataset. We learn reading such charts, graphs, etc. from as early on as elementary school. Man being a mainly visual being, it is obvious that a visual representation is the first idea that springs to mind if faced with the task of conveying information (or datasets from which the recipient is to deduce said information). Representing data visually however has its drawbacks. For some appli- cations, another sense than vision is far more useful for monitoring data: hearing. If we use sound instead of images as our medium for representing data, we speak of sonification instead of visualization. That way, sonification can be thought of as the audio equivalent of visualization. Instead of creating graphs and charts of our data, we map the data to audio sample streams. This has certain advantages over a visual display: • Free movement: When we watch data, we always have to keep our eyes on the screen (or another output device). If data is presented to us as sound, we can move freely about. • Background monitoring: When some quantity is permanently super- vised aurally, we can focus our attention on other tasks, as long as the changes in the data create a monotone feedback. But as soon as the data changes drastically (which should be represented in a drastic change in sound), the sonification automatically comes to our attention. • Temporal resolution: The temporal resolution of hearing is about twice as high (20-30 ms) as the temporal resolution of vision (50-60 ms). When we take spatial location into account, human hearing can differ- entiate time intervals of down to 1 ms![Warren, 1993] • High dynamic ranges: We hear over a large range of amplitudes and pitches which allows for a high resolution of presentation. 2 1. Introduction Fig. 1.1: Realtime sonification of motion data illustrated. Certain quantities of a motion (in this case rowing) are constantly measured. This constant stream of data is fed into a tool (in this case Pure Data). This tool creates constant audio feedback to which the subject performing the mo- tion listens to. This sonification should improve his perception of the movement. This in turn influences the way he executes that movement. 1.1. Previous work 3 • Supplementary information: Audio feedback can be used in combina- tion with classical visualization. • New Impulses: As hearing is simply different than vision, a sonification may convey new structures in data that were not detected by visualizing the dataset. Especially the aspects of free movement and better temporal resolution make sonification interesting when the dataset in question is created by mea- surements of human movement. These measurements could be positions, velocities, forces and quantities derived from these measurements. The soni- fications could provide additional feedback for improving motion sequences in professional sports or medical therapy. Obviously, realtime feedback in these applications must not hinder the subject in his or her mobility. The better temporal resolution of hearing over vision is useful as exact timing of movements is crucial in sports. Also, we are used to get audio feedback from our movements anyway and are used to react to that (the sound of footsteps, the rustle of clothes, the impact of a ball...). 1.1 Previous work Sonification, though still not a widespread method, has already been applied to a number of data exploration tasks. Jameson [1994] uses Sonification to gain insight into the workflow of a program and debug it. In the field of geology, sonification is already a common tool [Hayward, 1994]. Ekdale and Tripp [2005] use sonification for the classification of fossils. Other applica- tions include the sonification of meteorological data [Bylund and Cole, 2001], the aural supervision of health measurements [Fitch and Kramer, 1994] and the navigation of maps for the visually impaired [Zhao et al., 2005]. Effenberg [1996] describes in detail the motivation for using sonification in the field of human movement. Taking into account various results from perceptual psychology and sports science, he assumes a positive effect on motion learning using sonifications derived from motion data. Especially with respect to temporal perception, he considers audio representations of movements promising. This assumption is further undermined by compara- tive analysis of the results of numerous studies using acoustic feedback for sports movements. In [Effenberg, 2004], Effenberg analysis amongst others the effectiveness of identifying motion patterns according to their sonifica- tions. Effenberg [2005] gives empirical results for identifying and reproducing the height of a jump using only visual and combined audiovisual feedback. 4 1. Introduction The use of sonification in sports lead to a cooperation of the Institut f¨ur Sportwissenschaft und Sport and department II of the Institut f¨urInformatik at the university of Bonn. One of the results of this cooperation is described in Melzer [2005]. Melzer presents an expansion to the MotionLab Software1 that is able to sonify various parameters of a motion sequence via param- eter mapping sonification (see section 2.2.5). The data streams are turned into streams of MIDI Messages that are sent to the built-in General MIDI Synthesizer of Microsoft Windows. Data streams can be either mapped to the pitch or amplitude of a certain MIDI Channel, arbitrary controller data cannot be sent. An short summary of this module can be found in [Effenberg et al., 2005]. This expansion module was then implemented as a standalone applica- tion that received the data streams via TCP/IP.
Recommended publications
  • DM-780 Users Guide Ham Radio Deluxe V6.0
    HRD Software LLC DM-780 Users Guide Ham Radio Deluxe V6.0 By Tim Browning (KB3NPH) 2013 HRD Software LLC DM-780 Users Guide Table of Contents Overview ....................................................................................................................................................... 3 Audio Interfacing........................................................................................................................................... 4 Program Option Descriptions ....................................................................................................................... 8 Getting Started ............................................................................................................................................ 10 QSO Tag and My Station Set up .............................................................................................................. 11 My Station Set Up ................................................................................................................................... 12 Default Display ............................................................................................................................................ 14 Main Display with Waterfall ................................................................................................................... 14 Main Display with ALE and Modes Panes ............................................................................................... 15 Modes, Tags and Macros Panes .............................................................................................................
    [Show full text]
  • H Ow to Multi-Boot Linux R E D R Ootprom Pt New Kid In
    Issue 7 March , 2007 AApppplliiccaattiioonn CChh aannggeess HH ooww ttoo MMuullttii--BBoooott iinn 22000077 LLiinnuuxx PPllaayyiinngg ww iitthh BBeerryyll RReedd RRoooott PPrroomm pptt RReeccoorrddiinngg AAuuddiioo NNeeww KKiidd iinn TTooww nn ww iitthh PPCCLLiinnuuxxOOSS HH ooww ttoo CCoonnttrriibbuuttee WWoorrkk iinngg iinn GGnnoomm ee HH ooww ttoo MMaakk ee RR--bbaassee IInnsseerrtt aann IImm aaggee iinn WWoorrkk YYoouurr GGmm aaiill SSiiggnnaattuurree PPCCLLiinnuuxxOOSS DDuuaallVViieeww aanndd TTww iinnVViieeww TTuuttoorriiaall Exce pt w h e re oth e rw is e note d, conte nt of th is m agaz ine is lice ns e d unde r a Cre ative Com m ons Atrribution-NonCom m e rcial-NoD e rvis 2.5 Lice ns e From th e Ch ie f Editor's De s k I k now w e prom is e d th at th is is s ue w ould h ave an in-de pth re vie w of PCLinuxOS .9 4/2007 Final, but it jus t couldn't h appe n. Unfortunate ly, or fortunate ly, de pe nding on h ow one look s at it, e nough bugs w e re dis cove re d in .9 4/2007 TR1 th at a s e cond te s t re le as e w as de e m e d ne ce s s ary. Righ t now , th e forum is alive w ith pos ts about th at Te s t Re le as e . From th is de s k , it look s lik e th e re are far fe w e r is s ue s th an w ith TR1.
    [Show full text]
  • Monitoring Times 2000 INDEX
    Monitoring Times 1994 INDEX FEATURES: Air Show: Triumph to Tragedy Season Aug JUNE Duopolies and DXing Broadcast: Atlantic City Aero Monitoring May JULY TROPO Brings in TV & FM A Journey to Morocco May Dayton's Aviation Extravaganza DX Bolivia: Radio Under the Gun June June AUG Low Power TV Stations Broadcasting Battlefield, Colombia Flight Test Communications Jan SEP WOW, Omaha Dec Gathering Comm Intelligence OCT Winterizing Chile: Land of Crazy Geography June NOV Notch filters for good DX April Military Low Band Sep DEC Shopping for DX Receiver Deutsche Welle Aug Monitoring Space Shuttle Comms European DX Council Meeting Mar ANTENNA TOPICS Aug Monitoring the Prez July JAN The Earth’s Effects on First Year Radio Listener May Radio Shows its True Colors Aug Antenna Performance Flavoradio - good emergency radio Nov Scanning the Big Railroads April FEB The Half-Rhombic FM SubCarriers Sep Scanning Garden State Pkwy,NJ MAR Radio Noise—Debunking KNLS Celebrates 10 Years Dec Feb AntennaResonance and Making No Satellite or Cable Needed July Scanner Strategies Feb the Real McCoy Radio Canada International April Scanner Tips & Techniques Dec APRIL More Effects of the Earth on Radio Democracy Sep Spy Catchers: The FBI Jan Antenna Radio France Int'l/ALLISS Ant Topgun - Navy's Fighter School Performance Nov Mar MAY The T2FD Antenna Radio Gambia May Tuning In to a US Customs Chase JUNE Antenna Baluns Radio Nacional do Brasil Feb Nov JULY The VHF/UHF Beam Radio UNTAC - Cambodia Oct Video Scanning Aug Traveler's Beam Restructuring the VOA Sep Waiting
    [Show full text]
  • Preliminary Notes About a New Tool for Remote Underwater Bioacoustic Studies
    Boletín del Museo Nacional de Historia Natural, Chile, 59: 127 - 141 (2010) SEAFLOOR ACOUSTIC LOGGER UNIT: PRELIMINARY NOTES ABOUT A NEW TOOL FOR REMOTE UNDERWATER BIOACOUSTIC STUDIES G. PAOLO SANINO(1,2) (1)Centre for Marine Mammals Research - LEVIATHAN, Postal code 7640392 Santiago, Chile; [email protected] (2)National Museum of Natural History - MNHN, Casilla 787, Santiago, Chile. ABSTRACT Since their beginning in 1999, local cetacean passive hydroacoustic studies have increased in Chile, but have been limited to the traditional technique of deploying hydrophones from boats. Some of the main problems of this technique are reviewed, based on a personal experience. Here are discussed the results of the first tests of a self-made remote autonomous underwater sound recorder following specific needs that may be shared by other colleagues, but have not been fully addressed by other contemporaneous projects. The Seafloor Acoustic Logger is composed of two parts, a physical unit (SALu) to be installed on the seabed and a Java-based software interface (SALi) that allows for the recording schemes of SALu to be graphically setup from any personal computer, netbook or even smartphone that has an available USB port, in the lab or the field. Recording schemes include: Continuous, automatically creating successive sound files of 1.9 GB; user definedPeriods; up to 18 Timers that can be set up by date, time and duration; and Trigger, the innovation for a microcontroller-driven device of a signal-based recording mode that provides SALu with real-time analysis capabilities to decide whether or not to record incoming sound, by comparing peaks longer than 30 ms with a threshold preset by the user.
    [Show full text]
  • Compromising Electromagnetic Emanations of Wired and Wireless Keyboards
    Compromising Electromagnetic Emanations of Wired and Wireless Keyboards Martin Vuagnoux Sylvain Pasini LASEC/EPFL LASEC/EPFL martin.vuagnoux@epfl.ch sylvain.pasini@epfl.ch Abstract puters, to do e-banking money transfer, etc. A weakness in these hardware devices will jeopardize the security of Computer keyboards are often used to transmit confiden- any password-based authentication system. tial data such as passwords. Since they contain elec- Compromising electromagnetic emanation problems th tronic components, keyboards eventually emit electro- appeared already at the end of the 19 century. Be- magnetic waves. These emanations could reveal sensi- cause of the extensive use of telephones, wire networks tive information such as keystrokes. The technique gen- became extremely dense. People could sometimes hear erally used to detect compromising emanations is based other conversations on their phone line due to undesired on a wide-band receiver, tuned on a specific frequency. coupling between parallel wires. This unattended phe- However, this method may not be optimal since a sig- nomenon, called crosstalk, may be easily canceled by nificant amount of information is lost during the signal twisting the cables. acquisition. Our approach is to acquire the raw signal A description of some early exploitations of compro- directly from the antenna and to process the entire cap- mising emanations has been recently declassified by the tured electromagnetic spectrum. Thanks to this method, National Security Agency [26]. During World War II, we detected four different kinds of compromising elec- the American Army used teletypewriter communications tromagnetic emanations generated by wired and wireless encrypted with Bell 131-B2 mixing devices.
    [Show full text]
  • 21M.380 Sound Design: Lecture Slides
    MIT OpenCourseWare — http://ocw.mit.edu 21M.380 Music and Technology Sound Design (Spring 2016) Instructor: Florian Hollerweger For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms Copyright notice 440 I The Pd patch figures in these notes were generated with the Pure Data software. See the pd~ license at http://puredata.info/about/pdlicense/ 327 I Any Pd patch figures referenced as osc~ Figure: […] (Farnell 2010, fig. ##.##) or *~ 0.1 Figure: […] (cf., Farnell 2010, ch. ##.##) were generated by Florian Hollerweger using Andy Farnell’s Pd code supplement to his book Designing dac~ Sound (Farnell 2010, MIT Press). How to run the Pd patches from Designing Sound To open any Pd patches that correspond to figures from Designing Sound (Farnell 2010) directly by clicking on the button in the figure caption: 1. Download Pd vanilla and install it on your computer: http://puredata.info/downloads/pure-data/ 2. Download this PDF to your local hard drive. 3. Download the Pd code to your local drive: https://mitpress.mit. edu/sites/default/files/titles/content/ds_pd_examples.tar.gz 4. Unpack the .tar.gz tarball and place its PUREDATA folder in the same parent directory as this PDF. 5. Open this PDF in a viewer that supports links to local files. I Linux: Most viewers I Mac OS X: Adobe Reader or Skim (but not Preview) I Windows: Adobe Reader (and probably others) 6. Use this button to test (Pd should open with a patch): How to run other audio examples Other figures are associated with audio examples available from the OpenCourseWare site.
    [Show full text]
  • Operating System Support for Low-Latency Streaming
    Operating System Support for Low-Latency Streaming Ashvin Goel B.S., I.1.T Kanpur, India, 1992 M.S., UCLA, 1996 A dissertation presented to the faculty of the OGI School of Science & Engineering at Oregon Health & Science University in partial fulfillment of the requirements for the degree Doctor of Philosophy in Computer Science and Engineering July 2003 @ Copyright 2003 by Ashvin Goel All Rights Reserved The dissertation "Operating System Support for Low-Latency Streaming" by Ashvin Goel has been examined and approved by the following Examination Committee: Jonathan ~al<ole ' Professor, OGI School of Science and Engineering Thesis Research Adviser Calton Pu Professor, Georgia Institute of Technology Mark Jones Associate Professor, OGI School of Science and Engineering wU-chang ~eng Assistant Professor, OGI School of Science and Engineering Dedication To my parents, whose wholehearted support helped me start this endeavor. To Nadia, my Iove, whose wholehearted support helped me complete it. Acknowledgments The ideas in this dissertation, its character and its form, have been heavily influenced by a long list of people with whom I have been fortunate enough to collaborate during my PhD. Jon Walpole, my advisor, has been instrumental in the successful completion of this work. He provided an environment that nurtured my growth during the early stages of the PhD process, while giving sufficient freedom and responsibility during the later stages of my PhD. His invaluable advice and his philosophy about keeping a balance between work, hobbies and personal life inspired me and will continue to inspire me to do my best. My confidence as a researcher grew under my previous advisor, Calton Pu, who fully sup- ported and encouraged me at each stage of my work.
    [Show full text]
  • Digital Artists' Handbook
    Digital Artists' Handbook By admin Published: 09/26/2007 - 13:35 The Digital Artists Handbook is an accessible source of information that introduces you to different tools, resources and ways of working related to digital art. The goal of the Handbook is to be a signpost, a source of practical information and content that bridges the gap between new users and the platforms and resources that are available, but not always very accessible. The Handbook is filled with articles written by invited artists and specialists, talking about their tools and ways of working. Some articles are introductions to tools, others are descriptions of methodologies, concepts and technologies. All articles were written and published between 2007 and 2009. When discussing software, the focus of this Handbook is on Free/Libre Open Source Software. The Handbook aims to give artists information about the available tools but also about the practicalities related to Free Software and Open Content, such as collaborative development and licenses. All this to facilitate exchange between artists, to take away some of the fears when it comes to open content licenses, sharing code, and to give a perspective on various ways of working and collaborating. - Graphics - Working with sound 1 / 228 - Working with others - Publishing your work - Working with digital video - Software art - Developing your own hardware Graphics › 2 / 228 Graphics By admin Published: 10/04/2007 - 08:26 Jon Phillips , December 2007 Image reigns supreme. From the thousands of films churned out each year from Nollywood, to the persistent recording of images by security cameras in London to the scaling of windows on your desktop computer, you are already a pixel pusher.
    [Show full text]
  • Trenton Computer Festival 2016 PROGRAM BOOK
    41st Annual Trenton Computer Festival The Oldest Personal Computer Show in the World The College of New Jersey Ewing, New Jersey 2016 PROGRAM BOOK Education Building <<<<< TCF Banquet 6:00pm >>>>> Talks, Forums, Vendor Fair & Flea Market Speaker: Chris Brogan Saturday, March 18 - 9:00 am to 5:00 pm CEO and founder of AssureNet Talks/Forums start at 10:15 am Social Science Building Atrium Sarnoff Museum Tours - 9:00 am to 3:00 pm $30 - Purchase tickets at Speaker Registration Table Sponsored by: The College of New Jersey (TCNJ) Electrical/Computer Engineering Department – www.tcnj.edu/~engsci/ With the support of IEEE Princeton/Central Jersey Section (PCJS) – ewh.ieee.org/rl/princeton-centraljersey ACM/IEEE-CS – Joint Princeton/Chapters of ACM and IEEE Computer Society – princetonacm.acm.org NYACC – New York Amateur Computer Club – www.nyacc.org ACGNJ - Amateur Computer Group of New Jersey - www.acgnj.org Member of the New Jersey Makers Day Partnership TCF Steering Committee Allen Katz – TCNJ – Chair/Program Chair & Co-Founder TCF Orlando Hernandez – TCNJ – Treasurer Michelle London – Mt. Airy VHF R.C. (Pack Rats) – Flea Market Susan Donohue – UVa – ISEC Chair Larry Pearlstein – TCNJ TCF – Website support Roger Amidon – TCF Website support Fran O’Connell – IEEE PCJS Liaison/program Jacob Freedman – Facebook support John Raff – ACGNJ – General Support Eric Hafler – PACS – Publicity Chair Michael Redlich -- ACGNJ -- Secretary, Twitter & Volunteers Joe Jesson – TCNJ – Speaker Program support David Mc Ritchie – ACGNJ -- Volunteers Hank Kee – NYACC – Keynote Speaker Chair David Soll – IEEE/ACM – IT Professional Conference Chair Lennie Libes – ACGNJ – Speaker Program & Program Book Joe Urciuoli – TCNJ – IEEE Student Branch Chair Sol Libes – ACGNJ – Program Book Editor & Co-Founder TCF Lenny Wintfeld – Mt.
    [Show full text]
  • Software a Selection of Free and Open Source Programming Languages, Platforms and Environments in Digital Art Production
    Software A selection of free and open source programming languages, platforms and environments in digital art production Context Black Girls Code Code.org Codecademy CoderDojo Dataflow Programming (Wikipedia) dyne.org (Free Software Foundry) DZone Snippets (Source Code Repository) EasyWeb (Software Research Platform) Girls Who Code Distributed Revision Control and Source Code Management Git Git Immersion GitHub Hypertext Authoring Context Immersive Storytelling Platforms, Apps, Resources & Tools Interactive Fiction (Wikipedia) Programs Eko: Interactive Cinema Online Esri Story Maps GuriVR Hopscotch HypeDyn Inform shiftr: The Internet of Things Prototyping Platform Texture Stylometry JGAAP Signature 1 Audio Software Audacity (Audio Recording and Editing Software) Baudline (Sound Visualization and Analysis Tool) Nodal (Generative Music Software) sndpeek (Real-Time Audio Visualization Tool) Sonic Visualiser (Sound Visualization and Analysis Tool) SoX - Sound eXchange TAPESTREA (Environmental Audio Tool) WaveSurfer (Sound Visualization and Manipulation Tool) Audio Programming Languages (fluxus) [sa trenutnim odzivom (Live Coding)] ChucK (Audio Programming Language) [sa trenutnim odzivom (Live Coding)] Chsound Faust (Functional Audio Stream) [sa trenutnim odzivom (Live Coding)] Gibber [sa trenutnim odzivom (Live Coding)] MUSIC-N (Wikipedia) Overtone (Open Source Audio Environment) [sa trenutnim odzivom (Live Coding)] SuperCollider (Audio Synthesis Programming Language) [sa trenutnim odzivom (Live Coding)] Tidal [sa trenutnim odzivom (Live Coding)]
    [Show full text]
  • DOWNLOAD Nimble Writer FULL VERSION UPDATED 139 · Spank Wespank Net Real Punishment of Children 180 Spank Me.Rar · Bendravimo
    1 / 2 DOWNLOAD Nimble Writer FULL VERSION [UPDATED] Rar Avatar 2009 Extended Collectors Edition (1080p Bluray X265 10bit HEVC AAC ... DOWNLOAD Nimble Writer FULL VERSION [UPDATED] rar. Call of Duty Black Ops 2 ps3 iso, Download game ps3 iso, hack game ... 55 eboot fix or install the CODMW3 pkg, that way it will write the PSRAM to look for firmware 3. ... OF DUTY: BLACK OPS 4 PKG PS4 [MEGA] [MEDIAFIRE] Call of Duty ... This represents the main software version and software update .... The Steam Workshop makes it easy to discover or share new content for your game or software. Each game or software might support slightly different kinds of .... Ardem Confesions Erotiques Dorothee En ->>> DOWNLOAD (Mirror #1) . ... DOWNLOAD Nimble Writer FULL VERSION [UPDATED] rar. 7 Complete] mkv x264 - YIFY. x264 is a free and open-source software library ... Upcoming Indian movies and download recent movies, list of 2019 bollywood ... Since x264 doesn't write *all* of the encoding settings (that I can see, ... into the H. Zootopia 2016 MULTi 1080p BluRay x264 VENUE mkv. rar tiesto i will be there.. 013 Software 25-10-2018 Satellite Dish Receivers Software Download Ali3510C ... Iam trying to read and write to nand flash in u-boot and linux level. ... 4M receiver new software update with ecast tnt astra_sat 19 emujul 18, 2020. rar. ... a classic road-wheel feel ideal for climbing, quick acceleration, and nimble handling.. Download Nimble Commander Pro for macOS 10.11 or later and enjoy it on your Mac. ... for power users, including software developers, system administrators, and other IT professionals.
    [Show full text]
  • Ogg Vorbis SEBAGAI SALAH SATU ALTERNATIF METODE PEMAMPATAN SUARA MERUGI
    Ogg Vorbis SEBAGAI SALAH SATU ALTERNATIF METODE PEMAMPATAN SUARA MERUGI Ogg Vorbis as an Altenatif Method for Lossy Sound Compression Azis Wisnu Widhi Nugraha [email protected] Program Sarjana Teknik Unsoed Purwokerto ABSTRACT Multimedia technology has changed rapidly. How to get a small audio file with the high quality that still equal to the real quality is became the common issue in the sound compression world. Because the human ears can't hear all of sound component, it's allowed to compress an audio data using lossy method. A new lossy method to compress an audio data is Ogg Vorbis. This method has its own psychoacoustic model that made this method has the better sound quality if compared to the popular codec Mp3. Keywords : sound compression, Ogg Vorbis, Ogg, Vorbis. tidak boleh terjadi tunda waktu PENDAHULUAN sehingga dibutuhkan lebar bidang yang sangat besar. Perkembangan dunia multimedia dewasa ini yang cukup pesat dikarenakan Dengan ukuran file data audio yang kebutuhan manusia akan data multimedia cukup besar, maka diperlukan suatu teknik cukup tinggi. Suara sebagai salah satu pemampatan data audio untuk mengurangi komponen multimedia memegang peranan ukuran data audio. Teknik pemampatan yang cukup besar. Sejak ditemukan, teknik suara ini mengacu pada istilah audio perekaman suara digital memiliki codecs. Secara umum metode permasalahan dengan kapasitas media pemampatan suara dapat digolongkan penyimpanan. Untuk menyimpan suara dalam dua kelompok besar, yaitu metode dengan kualitas CD audio dibutuhkan laju pemampatan suara tak merugi dan metode cuplikan (sample rate) sebesar 44,1 kHz, pemampatan suara merugi. dengan kanal stereo (dua kanal : kiri dan Untuk memampatkan suara kanan) dan jumlah bit kuantisasi untuk dimungkinkan dilakukan pemampatan masing-masing kanal sebesar 16 bit (dua secara merugi karena sesunguhnya telinga byte), Dengan demikian, dibutuhkan manusia memiliki keterbatasan untuk kapasitas media penyimpan sekitar mendengarkan suara 'asli'.
    [Show full text]