Model-Based Sound Synthesis
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Minimoog Model D Manual
3 IMPORTANT SAFETY INSTRUCTIONS WARNING - WHEN USING ELECTRIC PRODUCTS, THESE BASIC PRECAUTIONS SHOULD ALWAYS BE FOLLOWED. 1. Read all the instructions before using the product. 2. Do not use this product near water - for example, near a bathtub, washbowl, kitchen sink, in a wet basement, or near a swimming pool or the like. 3. This product, in combination with an amplifier and headphones or speakers, may be capable of producing sound levels that could cause permanent hearing loss. Do not operate for a long period of time at a high volume level or at a level that is uncomfortable. 4. The product should be located so that its location does not interfere with its proper ventilation. 5. The product should be located away from heat sources such as radiators, heat registers, or other products that produce heat. No naked flame sources (such as candles, lighters, etc.) should be placed near this product. Do not operate in direct sunlight. 6. The product should be connected to a power supply only of the type described in the operating instructions or as marked on the product. 7. The power supply cord of the product should be unplugged from the outlet when left unused for a long period of time or during lightning storms. 8. Care should be taken so that objects do not fall and liquids are not spilled into the enclosure through openings. There are no user serviceable parts inside. Refer all servicing to qualified personnel only. NOTE: This equipment has been tested and found to comply with the limits for a class B digital device, pursuant to part 15 of the FCC rules. -
Additive Synthesis, Amplitude Modulation and Frequency Modulation
Additive Synthesis, Amplitude Modulation and Frequency Modulation Prof Eduardo R Miranda Varèse-Gastprofessor [email protected] Electronic Music Studio TU Berlin Institute of Communications Research http://www.kgw.tu-berlin.de/ Topics: Additive Synthesis Amplitude Modulation (and Ring Modulation) Frequency Modulation Additive Synthesis • The technique assumes that any periodic waveform can be modelled as a sum sinusoids at various amplitude envelopes and time-varying frequencies. • Works by summing up individually generated sinusoids in order to form a specific sound. Additive Synthesis eg21 Additive Synthesis eg24 • A very powerful and flexible technique. • But it is difficult to control manually and is computationally expensive. • Musical timbres: composed of dozens of time-varying partials. • It requires dozens of oscillators, noise generators and envelopes to obtain convincing simulations of acoustic sounds. • The specification and control of the parameter values for these components are difficult and time consuming. • Alternative approach: tools to obtain the synthesis parameters automatically from the analysis of the spectrum of sampled sounds. Amplitude Modulation • Modulation occurs when some aspect of an audio signal (carrier) varies according to the behaviour of another signal (modulator). • AM = when a modulator drives the amplitude of a carrier. • Simple AM: uses only 2 sinewave oscillators. eg23 • Complex AM: may involve more than 2 signals; or signals other than sinewaves may be employed as carriers and/or modulators. • Two types of AM: a) Classic AM b) Ring Modulation Classic AM • The output from the modulator is added to an offset amplitude value. • If there is no modulation, then the amplitude of the carrier will be equal to the offset. -
Real-Time Timbre Transfer and Sound Synthesis Using DDSP
REAL-TIME TIMBRE TRANSFER AND SOUND SYNTHESIS USING DDSP Francesco Ganis, Erik Frej Knudesn, Søren V. K. Lyster, Robin Otterbein, David Sudholt¨ and Cumhur Erkut Department of Architecture, Design, and Media Technology Aalborg University Copenhagen, Denmark https://www.smc.aau.dk/ March 15, 2021 ABSTRACT Neural audio synthesis is an actively researched topic, having yielded a wide range of techniques that leverages machine learning architectures. Google Magenta elaborated a novel approach called Differ- ential Digital Signal Processing (DDSP) that incorporates deep neural networks with preconditioned digital signal processing techniques, reaching state-of-the-art results especially in timbre transfer applications. However, most of these techniques, including the DDSP, are generally not applicable in real-time constraints, making them ineligible in a musical workflow. In this paper, we present a real-time implementation of the DDSP library embedded in a virtual synthesizer as a plug-in that can be used in a Digital Audio Workstation. We focused on timbre transfer from learned representations of real instruments to arbitrary sound inputs as well as controlling these models by MIDI. Furthermore, we developed a GUI for intuitive high-level controls which can be used for post-processing and manipulating the parameters estimated by the neural network. We have conducted a user experience test with seven participants online. The results indicated that our users found the interface appealing, easy to understand, and worth exploring further. At the same time, we have identified issues in the timbre transfer quality, in some components we did not implement, and in installation and distribution of our plugin. The next iteration of our design will address these issues. -
Presented at ^Ud,O the 99Th Convention 1995October 6-9
Tunable Bandpass Filters in Music Synthesis 4098 (L-2) Robert C. Maher University of Nebraska-Lincoln Lincoln, NE 68588-0511, USA Presented at ^ uD,o the 99th Convention 1995 October 6-9 NewYork Thispreprinthas been reproducedfrom the author'sadvance manuscript,withoutediting,correctionsor considerationby the ReviewBoard. TheAES takesno responsibilityforthe contents. Additionalpreprintsmay be obtainedby sendingrequestand remittanceto theAudioEngineeringSocietY,60 East42nd St., New York,New York10165-2520, USA. All rightsreserved.Reproductionof thispreprint,or anyportion thereof,isnot permitted withoutdirectpermissionfromthe Journalof theAudio EngineeringSociety. AN AUDIO ENGINEERING SOCIETY PREPRINT TUNABLE BANDPASS FILTERS IN MUSIC SYNTHESIS ROBERT C. MAHER DEPARTMENT OF ELECTRICAL ENGINEERING AND CENTERFORCOMMUNICATION AND INFORMATION SCIENCE UNIVERSITY OF NEBRASKA-LINCOLN 209N WSEC, LINCOLN, NE 68588-05II USA VOICE: (402)472-2081 FAX: (402)472-4732 INTERNET: [email protected] Abst/act: Subtractive synthesis, or source-filter synthesis, is a well known topic in electronic and computer music. In this paper a description is given of a flexible subtractive synthesis scheme utilizing a set of tunable digital bandpass filters. Specific examples and applications are presented for realtime subtractive synthesis of singing and other musical signals. 0. INTRODUCTION Subtractive (or source-filter) synthesis is used widely in electronic and computer music applications. Subtractive synthesis general!y involves a source signal with a broad spectrum that is passed through a filter. The properties of the filter largely define the shape of the output spectrum by attenuating specific frequency ranges, hence the name subtractive synthesis [1]. The subtractive synthesis model is appropriate for the wide class of physical systems in which an input source drives a passive acoustical or mechanical system. -
Computationally Efficient Music Synthesis
HELSINKI UNIVERSITY OF TECHNOLOGY Department of Electrical and Communications Engineering Laboratory of Acoustics and Audio Signal Processing Jussi Pekonen Computationally Efficient Music Synthesis – Methods and Sound Design Master’s Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Technology. Espoo, June 1, 2007 Supervisor: Professor Vesa Välimäki Instructor: Professor Vesa Välimäki HELSINKI UNIVERSITY ABSTRACT OF THE OF TECHNOLOGY MASTER’S THESIS Author: Jussi Pekonen Name of the thesis: Computationally Efficient Music Synthesis – Methods and Sound Design Date: June 1, 2007 Number of pages: 80+xi Department: Electrical and Communications Engineering Professorship: S-89 Supervisor: Professor Vesa Välimäki Instructor: Professor Vesa Välimäki In this thesis, the design of a music synthesizer for systems suffering from limitations in computing power and memory capacity is presented. First, different possible syn- thesis techniques are reviewed and their applicability in computationally efficient music synthesis is discussed. In practice, the applicable techniques are limited to additive and source-filter synthesis, and, in special cases, to frequency modulation, wavetable and sampling synthesis. Next, the design of the structures of the applicable techniques are presented in detail, and properties and design issues of these structures are discussed. A major implemen- tation problem is raised in digital source-filter synthesis, where the use of classic wave- forms, such as sawtooth wave, as the source signal is challenging due to aliasing caused by waveform discontinuities. Methods for existing bandlimited waveform synthesis are reviewed, and a new approach using polynomial bandlimited step function is pre- sented in detail with design rules for the applicable polynomials. -
Frequency-Domain Additive Synthesis with an Oversampled Weighted Overlap-Add Filterbank for a Portable Low-Power MIDI Synthesizer
Audio Engineering Society Convention Paper 6202 Presented at the 117th Convention 2004 October 28–31 San Francisco, CA, USA This convention paper has been reproduced from the author's advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be obtained by sending request and remittance to Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA; also see www.aes.org. All rights reserved. Reproduction of this paper, or any portion thereof, is not permitted without direct permission from the Journal of the Audio Engineering Society. Frequency-Domain Additive Synthesis With An Oversampled Weighted Overlap-Add Filterbank For A Portable Low-Power MIDI Synthesizer King Tam1 1 Dspfactory Ltd., Waterloo, Ontario, N2V 1K8, Canada [email protected] ABSTRACT This paper discusses a hybrid audio synthesis method employing both additive synthesis and DPCM audio playback, and the implementation of a miniature synthesizer system that accepts MIDI as an input format. Additive synthesis is performed in the frequency domain using a weighted overlap-add filterbank, providing efficiency gains compared to previously known methods. The synthesizer system is implemented on an ultra-miniature, low-power, reconfigurable application specific digital signal processing platform. This low-resource MIDI synthesizer is suitable for portable, low-power devices such as mobile telephones and other portable communication devices. Several issues related to the additive synthesis method, DPCM codec design, and system tradeoffs are discussed. implementation using the Fourier transform and inverse Fourier transform. 1. INTRODUCTION While several other synthesis methods have been Additive synthesis in musical applications has been developed, interest in additive synthesis has continued. -
11C Software 1034-1187
Section11c PHOTO - VIDEO - PRO AUDIO Computer Software Ableton.........................................1036-1038 Arturia ...................................................1039 Antares .........................................1040-1044 Arkaos ....................................................1045 Bias ...............................................1046-1051 Bitheadz .......................................1052-1059 Bomb Factory ..............................1060-1063 Celemony ..............................................1064 Chicken Systems...................................1065 Eastwest/Quantum Leap ............1066-1069 IK Multimedia .............................1070-1078 Mackie/UA ...................................1079-1081 McDSP ..........................................1082-1085 Metric Halo..................................1086-1088 Native Instruments .....................1089-1103 Propellerhead ..............................1104-1108 Prosoniq .......................................1109-1111 Serato............................................1112-1113 Sonic Foundry .............................1114-1127 Spectrasonics ...............................1128-1130 Syntrillium ............................................1131 Tascam..........................................1132-1147 TC Works .....................................1148-1157 Ultimate Soundbank ..................1158-1159 Universal Audio ..........................1160-1161 Wave Mechanics..........................1162-1165 Waves ...........................................1166-1185 -
THE COMPLETE SYNTHESIZER: a Comprehensive Guide by David Crombie (1984)
THE COMPLETE SYNTHESIZER: A Comprehensive Guide By David Crombie (1984) Digitized by Neuronick (2001) TABLE OF CONTENTS TABLE OF CONTENTS...........................................................................................................................................2 PREFACE.................................................................................................................................................................5 INTRODUCTION ......................................................................................................................................................5 "WHAT IS A SYNTHESIZER?".............................................................................................................................5 CHAPTER 1: UNDERSTANDING SOUND .............................................................................................................6 WHAT IS SOUND? ...............................................................................................................................................7 THE THREE ELEMENTS OF SOUND .................................................................................................................7 PITCH ...................................................................................................................................................................8 STANDARD TUNING............................................................................................................................................8 THE RESPONSE OF THE HUMAN -
Enhancing Digital Signal Processing Education with Audio Signal Processing and Music Synthesis
AC 2008-1613: ENHANCING DIGITAL SIGNAL PROCESSING EDUCATION WITH AUDIO SIGNAL PROCESSING AND MUSIC SYNTHESIS Ed Doering, Rose-Hulman Institute of Technology Edward Doering received his Ph.D. in electrical engineering from Iowa State University in 1992, and has been a member the ECE faculty at Rose-Hulman Institute of Technology since 1994. He teaches courses in digital systems, circuits, image processing, and electronic music synthesis, and his research interests include technology-enabled education, image processing, and FPGA-based signal processing. Sam Shearman, National Instruments Sam Shearman is a Senior Product Manager for Signal Processing and Communications at National Instruments (Austin, TX). Working for the firm since 2000, he has served in roles involving product management and R&D related to signal processing, communications, and measurement. Prior to working with NI, he worked as a technical trade press editor and as a research engineer. As a trade press editor for "Personal Engineering & Instrumentation News," he covered PC-based test and analysis markets. His research engineering work involved embedding microstructures in high-volume plastic coatings for non-imaging optics applications. He received a BS (1993) in electrical engineering from the Georgia Institute of Technology (Atlanta, GA). Erik Luther, National Instruments Erik Luther, Textbook Program Manager, works closely with professors, lead users, and authors to improve the quality of Engineering education utilizing National Instruments technology. During his last 5 years at National Instruments, Luther has held positions as an academic resource engineer, academic field engineer, an applications engineer, and applications engineering intern. Throughout his career, Luther, has focused on improving education at all levels including volunteering weekly to teach 4th graders to enjoy science, math, and engineering by building Lego Mindstorm robots. -
New Possibilities in Sound Analysis and Synthesis Xavier Rodet, Philippe Depalle, Guillermo Garcia
New Possibilities in Sound Analysis and Synthesis Xavier Rodet, Philippe Depalle, Guillermo Garcia To cite this version: Xavier Rodet, Philippe Depalle, Guillermo Garcia. New Possibilities in Sound Analysis and Synthesis. ISMA: International Symposium of Music Acoustics, 1995, Dourdan, France. pp.1-1. hal-01157137 HAL Id: hal-01157137 https://hal.archives-ouvertes.fr/hal-01157137 Submitted on 27 May 2015 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. New Possibilities in Sound Analysis and Synthesis Xavier Rodet, Philippe Depalle, Guillermo Garcia ISMA 95, Dourdan (France), 1995 Copyright © ISMA 1995 Abstract In this presentation we exemplify the emergence of new possibilities in sound analysis and synthesis with three novel developments that have been done in the Analysis/Synthesis team at IRCAM. These examples address three main activities in our domain, and have reached a large public making or simply listening to music. The first example concerns synthesis using physical models. We have determined the behavior of a class of models, in terms of stability, oscillation, periodicity, and finally chaos, leading to a better control of these models in truly innovative musical applications. The second example concerns additive synthesis essentially based on the analysis of natural sounds. -
Additive Synthesis
Additive synthesis Additive synthesis is a sound synthesis technique that creates timbre by adding sine waves together.[1][2] Additive synthesis example The timbre of musical instruments can be considered in the light of Fourier theory to consist of multiple harmonic or 0:00 inharmonic partials or overtones. Each partial is a sine wave of different frequency and amplitude that swells and decays over A bell-like sound generated by time due to modulation from an ADSR envelope or low frequency oscillator. additive synthesis of 21 inharmonic partials Additive synthesis most directly generates sound by adding the output of multiple sine wave generators. Alternative implementations may use pre-computedwavetables or the inverse Fast Fourier transform. Problems playing this file? See media help. Contents 1 Explanation 2 Definitions 2.1 Harmonic form 2.2 Time-dependent amplitudes 2.3 Inharmonic form 2.4 Time-dependent frequencies 2.5 Broader definitions 3 Implementation methods 3.1 Oscillator bank synthesis 3.2 Wavetable synthesis 3.2.1 Group additive synthesis 3.3 Inverse FFT synthesis 4 Additive analysis/resynthesis 4.1 Products 5 Applications 5.1 Musical instruments 5.2 Speech synthesis 6 History 6.1 Timeline 7 Discrete-time equations 8 See also 9 References 10 External links Explanation The sounds that are heard in everyday life are not characterized by a single frequency. Instead, they consist of a sum of pure sine frequencies, each one at a different amplitude. When humans hear these frequencies simultaneously, we can recognize the sound. This is true for both "non-musical" sounds (e.g. water splashing, leaves rustling, etc) and for "musical sounds" (e.g. -
Physically-Based Parametric Sound Synthesis and Control
Physically-Based Parametric Sound Synthesis and Control Perry R. Cook Princeton Computer Science (also Music) Course Introduction Parametric Synthesis and Control of Real-World Sounds for virtual reality games production auditory display interactive art interaction design Course #2 Sound - 1 Schedule 0:00 Welcome, Overview 0:05 Views of Sound 0:15 Spectra, Spectral Models 0:30 Subtractive and Modal Models 1:00 Physical Models: Waveguides and variants 1:20 Particle Models 1:40 Friction and Turbulence 1:45 Control Demos, Animation Examples 1:55 Wrap Up Views of Sound • Sound is a recorded waveform PCM playback is all we need for interactions, movies, games, etc. (Not true!!) • Time Domain x( t ) (from physics) • Frequency Domain X( f ) (from math) • Production what caused it • Perception our image of it Course #2 Sound - 2 Views of Sound Time Domain is most closely related to Production Frequency Domain is most closely related to Perception we will see that many hybrids abound Views of Sound: Time Domain Sound is produced/modeled by physics, described by quantities of • Force force = mass * acceleration • Position x(t) actually < x(t), y(t), z(t) > • Velocity Rate of change of position dx/dt • Acceleration Rate of change of velocity dv/dt Examples: Mass+Spring+Damper Wave Equation Course #2 Sound - 3 Mass/Spring/Damper F = ma = - ky - rv - mg F = ma = - ky - rv (if gravity negligible) d 2 y r dy k + + y = 0 dt2 m dt m ( ) D2 + Dr / m + k / m = 0 2nd Order Linear Diff Eq. Solution 1) Underdamped: -t/τ ω y(t) = Y0 e cos( t ) exp.