{"id":65919,"date":"2023-04-28T16:32:33","date_gmt":"2023-04-28T16:32:33","guid":{"rendered":"https:\/\/www.techopedia.com"},"modified":"2024-01-18T12:26:42","modified_gmt":"2024-01-18T12:26:42","slug":"how-can-an-ai-model-create-music","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/how-can-an-ai-model-create-music","title":{"rendered":"How Can an AI Model Create Music?"},"content":{"rendered":"

Overview\u00a0<\/span><\/h2>\n

In order to create any type of art, whether it’s a painting, musical composition, sculpture, or something else, one requires imagination and creativity. Until recently, only the human brain was thought to be capable of imagining and producing art. With the emergence of AI technologies, machines have proven to also be capable of creating art, a process known as generative art. By using deep learning techniques, an autonomous system like AI can produce images, melodies, and other forms of art based on the inputs or prompts<\/a>.<\/p>\n

Role of AI in music creation\u00a0<\/span><\/h2>\n

Artificial intelligence (AI)<\/a> has the potential to create music in various ways. One of the most popular methods involves using machine learning algorithms, particularly deep neural networks<\/a>, to analyze large datasets of existing music and then generate new compositions based on the analysis.<\/p>\n

The process of creating music with AI involves training the ML algorithm<\/a> on a dataset of existing music, which could be a vast collection of songs in a particular genre or style. The algorithm examines the patterns and structures in the music, such as the chords, melodies, beats, rhythms, and instrumentation, and then uses this information to create new music that is similar in style and structure.<\/p>\n

Music representation to ML<\/span><\/h2>\n

When it comes to developing AI-based music, the primary obstacle is how to translate music into a comprehensible format for the machine learning model. Since the model perceives information as a numerical vector, we must depict music as a series of numeric tokens that carry information about the rhythm, notes, timbre, and other relevant data points. These tokens serve as a representation of music that can be processed by the AI system.<\/p>\n

One way to train the model is by utilizing MIDI files<\/a>, which is a widely adopted protocol in the electronic music industry for transmitting musical information between digital devices. MIDI files are structured files that include ordered information on notes, rhythm changes, BPM (beats per minute), and other related data points, which can be treated as a natural language representation for training the model.<\/p>\n

Many machine learning algorithms rely on using the raw audio data at each time step as input. These inputs are usually represented in the form of sequential input vectors, which are commonly used in natural language processing (NLP)<\/a> to train the model. Then the model can predict the next token in a sequence at each time step.<\/p>\n

AI-generated music platforms<\/span><\/h2>\n

Artificial Intelligence (AI) is rapidly changing the world of music creation. AI-generated music platforms are using machine learning algorithms to create unique and original music for videos, games, movies, and many other media projects.<\/p>\n

Following are some of the best AI-generated music platforms available.<\/p>\n