Artificial Intelligence is used to generate music as composing music involves working on music fragments, changing these music fragments, and combining these fragments to generate music. To do these tasks, understanding the music is developed by learning music theory.
To generate music understanding of harmony, melody, and different forms is required. Therefore, composing music is a task that needs to be repeated repeatedly. This task is made easy by applying Artificial Intelligence.
To compose music, boundaries are defined to filter existing ideas to compose music. For example, if the music has to be composed using two notes, the music is filtered out. In addition, characteristics such as tempo, time signature, key signature, and the type of instruments to be used are decided.
Music composition also includes decisions on the range of high, middle, or low notes. It is decided whether the note is loud or soft, and variability of the note over time. These parts of the music are combined to generate a melody.
Music composition is not generating music from notes that do not exist. Instead, the music composers generate music from the music that already exists. New music is composed on music that already exists. Thus, music composition requires time and searching the vast music library growing over time.
The normal process of generating music is to search for a note that suits your situation where the composed music needs to be played. To pick out the right note requires searching the vast music library. This process becomes more cumbersome when the theoretical knowledge of the music is weak. This leads to a poor combination of notes that already exist and generates music that is hard to understand and becomes piercing.
To compose music, understanding harmony is a must, and it is a time-consuming process as it requires an understanding of melody. Thus to compose good music, fishing of music resources is done. Pick the correct music requires a well-defined set of rules that need to be used to pick the correct note that suits your requirements.
The Language of Music
The music has a well-defined grammar that needs to be used in composing music. The grammar includes scales, triads, and learning about seventh chords. These are the bocks the need to be used to compose music.
To automate the process of composing music requires learning the basic form of music. The basic form of the music decides the motive of the music, the basic idea of the music, the sentence of the music, periods that will be used to define music, small ternary to be used to build music, small binary to compose music, and large forms to be used to compose music.
To automate the process of the music composition requires the process of automating the task of motivation, filtering music based on the basic idea, when and how to use sentences, when and how to use periods, developing an algorithm to use small ternary and small binary and formalizing the process of using large forms.
Artificial Intelligence and Music
Artificial Intelligence is used to compose music using the traditional music composition skill. Automating the work of music composition involves understanding cognitive theories. The cognitive theories are formalized to generate harmonic sequences, develop sketches of harmonic sequences, conduct analyses, and modify harmonic sequences.
Artificial intelligence is used to develop an intelligent tutoring system to compose music. These intelligent tutoring systems are rule-based. For example, LASSO is an intelligent tutoring system to compose music. This intelligent tutoring system works on a well-established set of rules based on high-graded music work.
To develop a music generator based on artificial intelligence, it must be based on Guided Discovery Learning. The guided discovery approach is based on the framework that facilitates discovery learning in the computerized environment under expert supervised guidance.
The case studies are used to develop artificial intelligence-based music generators. The case studies are used to build characteristics to generate music. The music generator uses chord sequences to organize, plan, modify, and manipulate the music.
Compressing music requires effectively using raw material to generate sensible music. Artificial intelligence uses the theories of harmony, rhythm, voice-leading, hierarchical reduction, and rubato to compose music.
With the development of technology, musical instruments can be connected with computers and synchronized to generate and compose music. This means that musical instruments can be controlled using algorithms that have roots in Artificial Intelligent.
Use of Computers in Music
Computers are used to generate music by using chord sequences. In addition, computers are often used to teach the basics of music theory and provide aural training. Different computer-based music tutoring systems were developed to compose music using appropriate intervals, correct melody, and sequenced chords, harmony, and required rhythm.
This computer-based music tutoring system uses four-voice synthesizers and has a touch-sensitive display. To compose music touch-screen of a computer-based music tutoring system is used. The lower and upper note of the intervals touch screen keyboard is used.
A computer-based music tutoring system has a chord program to judge and use the chord quality. It also has a harmony program to judge and provide ratings using numerals indicated on the touch screen. The discovery learning is supported by a computer-based music tutoring system and uses these systems as music composers.
Advantage of using Artificial intelligence in Composing Music
The advantage of using Artificial Intelligence in composing music is music’s speed and organization. Time is taken to formalize music and access and store developed music. Using Artificial Intelligence, the composed music can be compared with the developed music; the developed music can be compared with the small extracts of the pre-existing music.
The training delivered using artificial intelligence-based music composers provide music fundamentals with its use in existing music and training sessions that influence topics on a large domain of music.
Artificial intelligence is used to develop music editors. The music editors will take voice and will display its corresponding chord accordingly. To achieve the benefits of artificial intelligence in composing music, it is required to use instruments connected to computers so that proper sound sequencing can be done.
The automatized assistants use tacit music knowledge and composing skills to generate music. Artificial Intelligent music avatars reorder music, transposes music, pitch music, and transform music timely.
It is required to develop a framework to compose music. It must be based on Artificial Intelligent algorithms and support composing music based on chord sequencing and bass lines. Moreover, the framework must have a vast collection of musical frames, music taxonomies, exercise prototypes, song frames, and domain of network concept.
The music generator based on artificial intelligence must consider the type of music to be composed and the type of musical skills and knowledge to present using music generators.
There exist different music generators: Boomy cab accessed using the link https://boomy.com/, AI Music Generator that can be accessed using the link https://soundraw.io/, Jukebox that can be accessed using the link https://openai.com/blog/jukebox/.