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2017, arXiv:1705.05322 [cs.SD] (or arXiv:1705.05322v1 [cs.SD]
A short overview demystifying the midi audio format is presented. The goal is to explain the file structure and how the instructions are used to produce a music signal, both in the case of monophonic signals as for polyphonic signals.
Creating MIDI music can be a practical challenge. In the past, working with it was difficult and frustrating to all but the most accomplished and determined. Now, however, we are offering a powerful Visual Basic program called MIDI-LAB, that is easy to learn, and instantly rewarding to even the newest users. MIDI-LAB has been developed to give users the ability to quickly create music with a limitless variety of tunes, tempos, speeds, volumes, instruments, rhythms and major scales. This program has a simple, intuitive, and user-friendly interface, which provides a straightforward way to enter musical data with Numbered Musical Notation (NMN) and immediately create MIDI music. The key feature of this program is the digitalization of music input. It vastly simplifies creating, editing, and saving MIDI music. MIDI-LAB can be used virtually anywhere to write music for entertainment, teaching, computer games, and mobile phone ringtones.
2020
MIDI, the musical instrument digital interface, is a highly successful protocol for conveying and, through the use of Standard MIDI Files, representing musical performance information. However, it lacks the ability to convey notation information. The newly approved MIDI 2.0 protocol gives us a chance to rectify that by including notation information in the next version of the MIDI File Specification.
… of the 1986 International Computer Music …, 1986
2004
MIDI Toolbox provides a set of Matlab functions, which together have all the necessary machinery to analyze and visualize MIDI data. The development of the Toolbox has been part of ongoing research involved in topics relating to musical data- mining, modelling music perception and decomposing the data for and from perceptual experiments. Although MIDI data is not necessarily a good representation of music in general, it suffices for many research questions dealing with concepts such as melodic contour, tonality and pulse finding. These concepts are intriguing from the point of view of music perception and the chosen representation greatly affects the way these issues can be approached. MIDI is not able to handle the timbre of music and therefore it unsuitable representation for a number of research questions (for summary, see Hewlett and Selfridge-Field, 1993-94, p. 11-28). All musical signals may be processed from acoustic representation and there are suitable tools available for these purposes (e.g. IPEM toolbox, Leman et al., 2000). However, there is a body of essential questions of music cognition that benefit from a MIDI-based approach. MIDI does not contain notational information, such as phrase and bar markings, and neither is that information conveyed in explicit terms to the ears of music listeners. Consequently, models of music cognition must infer these musical cues from the pitch, timing and velocity information that MIDI provides. Another advantage of the MIDI format is that it is extremely wide-spread among the research community as well as having a wider group of users amongst the music professionals, artists and amateur musicians. MIDI is a common file format between many notation, sequencing and performance programs across a variety of operating systems. Numerous pieces of hardware exist that collect data from musical performances, either directly from the instrument (e.g. digital pianos and other MIDI instruments) or from the movements of the artists (e.g. motion tracking of musician’s gestures, hand movements etc.). The vast majority of this technology is based on MIDI representation. However, the analysis of the MIDI data is often developed from scratch for each research question. The aim of MIDI Toolbox is to provide the core representation and functions that are needed most often. These basic tools are designed to be modular to allow easy further development and tailoring for specific analysis needs. Another aim is to facilitate efficient use and to lower the “threshold of practicalities”. For example, the Toolbox can be used as teaching aid in music cognition courses.
2006
Status of This Memo This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited.
Proceedings of the 9th ACM SIGPLAN International Workshop on Functional Art, Music, Modelling, and Design, 2021
This article discusses the internal architecture of the MidifilePerformer application. This software allows a user to follow a score described in the MIDI format at its own pace and with its own accentuation. MidifilePerformer allows for a wide variety of style and interpretation to be applied to the vast number of MIDI files found on the Internet. We present here the algorithms enabling the association between the commands made by the performer, via a MIDI or alphanumeric keyboard, and the notes appearing in the score. We will show that these algorithms define a notion of expressiveness which extends the possibilities of interpretation while maintaining the simplicity of the gesture.
2006
This memo offers non-normative implementation guidance for the Realtime Protocol (RTP) MIDI (Musical Instrument Digital Interface) payload format. The memo presents its advice in the context of a network musical performance application. In this application two musicians, located in different physical locations, interact over a network to perform as they would if located in the same room. Underlying the performances are RTP MIDI sessions over unicast UDP. Algorithms for sending and receiving recovery journals (the resiliency structure for the payload format) are described in detail. Although the memo focuses on network musical performance, the presented implementation advice is relevant to other RTP MIDI applications.
2021
This article presents MidiTok, a Python package to encode MIDI files into sequences of tokens to be used with sequential Deep Learning models like Transformers or Recurrent Neural Networks. It allows researchers and developers to encode datasets with various strategies built around the idea that they share common parameters. This key idea makes it easy to :1) optimize the size of the vocabulary and the elements it can represent w.r.t. the MIDI specifications; 2) compare tokenization methods to see which performs best in which case; 3) measure the relevance of additional information like chords or tempo changes. Code and documentation of MidiTok are on Github 1 .
2004
Although MIDI is often used for computer-based interactive music applications, its real-time performance is difficult to generally quantify because of its dependence on the characteristics of the given application and the system on which it is running. We extend existing proposals for MIDI performance benchmarking so that they are useful in more realistic interactive scenarios, including those with high MIDI traffic and heavy CPU load. Our work has resulted in a cross-platform freely-available testing suite that requires minimal effort to use. We use this suite to survey the interactive performance of several commonly-used computer/MIDI setups, and extend the typical data analysis with an in-depth discussion of the benefits and downsides of various performance metrics.
In this study, a software design which can make real time changes on MIDI tuning in order microtones to be used and played back on MIDI network was aimed. For this reason, a patch which works under the Max/MSP programming language and uses patch bend message with different MIDI channels in order to play, record, change and edit the microtonal tones, and a patch object were programmed. Patch object had the range to make changes between the -99 and + 99 cent values on all the chromatic intervals of an octave within MIDI tuning system and also with the Bach External (Automated Composer's Helper) imbedded afterwards, patch gained the function of real time notation which was able to write the data coming from MIDI controller with their microtonal signs and notes. In order to test the patch, polyphonic music vocalization was performed. For this reason, ten different notes were struck simultaneously. Within the test, any data loss and connection detach didn't come out. For this reason, this study proves that multı channel pitch bend usage upon MIDI network is confidential and appropriate for playing the monophonic and polyphonic music's. Together with the exe and dmg files which can work alone, open source code shared maxpat and txt files of programmed patch and patch object have been shared on the internet so that the proficiency of the patch to play and write the microtonal frets have been opened to discussion.
Musical Instrument Digital Interface (MIDI) is an industry-standard communications proto- col for electrical musical instruments. Since its introduction in 1983, MIDI has rapidly achieved prominence, revolutionizing the music world, with most musicians and manufacturers growing increasingly dependent on it; yet, some musical communities have remained critical because its use has presented numerous technical and aes- thetic issues.
Although MIDI is often used for computer-based interactive music applications, its real-time performance is rarely quantified, despite concerns about whether it is capable of adequate performance in realistic settings. We extend existing proposals for MIDI performance benchmarking so they are useful in realistic interactive scenarios, including those with heavy MIDI traffic and CPU load. We have produced a cross-platform freely-available testing suite that is easy to use, and have used it to survey the interactive performance of several commonly-used computer/MIDI setups. We describe the suite, summarize the results of our performance survey, and detail the benefits of this testing methodology.
Proceedings of the AAAI Workshop on Artificial …, 2000
In this paper a system that is designed to extract the musical score from a MIDI performance is described. The proposed system comprises of a number of modules that perform the following tasks: identification of elementary musical objects, calculation of accent (salience) of musical events, beat induction, beat tracking, onset quantisation, streaming, duration quantisation and pitch spelling. The system has been applied on 13 complete Mozart sonata performances giving very encouraging results.
Proceedings of the International Conference on …, 2004
MIDI in Formal Music Education: Reflections on the Application of MIDI-Oriented Tools in Traditional Teaching and Learning Processes, 2021
Since 1983, with the release of the MIDI protocol, new resources have been developed for musical editing, composition, arrangement and performance. Due to the growing expansion of computers' storage and processing capacities, it has also been possible to increase the quality and specificity of sample libraries. In this context, the following work reflects on possible educational impacts of the research which investigate different audiences' perceptions regarding audios recorded by drummers' performances and by MIDI tools. Supported by the respondents' perceptions, the general aim of this paper is to reflect on the challenges for the application of MIDI-oriented approaches in formal teaching and learning music processes. Excerpted from this, four specific aims can be drawn: 1) to present the basic elements of sampling and MIDI protocol; 2) to systematically and pedagogically describe the procedures employed in the process of sequencing the selected drummers' performances; 3) to apply quality-assessment questionnaires for the sequencing-generated audios; 4) to reflect on the connections between the questionnaires' results and the use of MIDI in formal music education contexts. Pursuing these aims, the current investigation employs qualitative and quantitative methods to gather the data, to analyze the materials and to develop the knowledge that will guide the proposed discussions. It is defended that the employment of MIDI resources in music education can be beneficial not only for the development of knowledge connected with digital and modern technologies but also for the improvement of traditionally pursued music competences.
Proceedings of the sixth ACM international conference on Multimedia - MULTIMEDIA '98, 1998
We are interested in developing multimedia technology for enriching the listening experience of average listeners. One main issue we focus on is the design and construction of software systems in which users interact with music in various ways while maintaining as much as possible the semantics of the original music. In this context, we develop a research activity concerning music spatialization. We propose a system called MidiSpace, in which users may listen to music while controlling in real time the localization and spatialization of sound sources, through a simple interface. We then introduce the problem of mixing consistency, and propose a solution based on a constraint propagation mechanism. The proposed environment contains both an authoring mode, in which sound engineers or composers may specify spatialization constraints to be satisfied, and a listening mode in which listeners can modify spatialization settings under the supervision of a constraint solver that ensures the spatialization always satisfies the constraints. We describe the architecture of the system and report on experiments done so far.
Computers & Mathematics with Applications, 1996
The Composers Toolbox is a Macintosh Common Lisp-based environment designed to facilitate ease of data manipulation during the precompositional sketching process. The package provides a series of tools, many with graphic interfaces, which allow the user to work with both MIDI and sampled sound data in a free and flexible fashion.
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