AI Music Software: Overview, Benefits, and Examples

Part 1. How AI Revolutionizes Music Streaming Services

There’s no denying that cassette tapes and compact discs have greatly contributed to music distribution. But in terms of portability, music streaming services offer more advantages. Imagine the music is one click away from your mobile phone. It’s as easy as putting your headphones on and picking your jam. No need to bring bulky media players.

But in recent years, artificial intelligence has taken streaming technology even further. These music platforms can now explore the listener’s choice of songs and personalize their listening experience based on their preferences. How is it possible? The explanation is simple. AI music software interprets the listening behavior of the users based on their selection of artists, genres, and most-played tracks. That’s why the song recommendations are extremely relevant and appropriate.

Apart from automation and customization, AI music software has other benefits to offer. Check out the list below to learn more.

Real-time music updates

Music streaming platforms are now capable of providing important news to users from time to time. Chart-topping songs or newly released tracks are automatically promoted on the platform to give listeners a heads-up. If you’re an avid listener of a particular artist, AI music software can help you stay ahead of the game.

Convenient playlist customization

Having a complete list of our favorite songs in a specific folder is very convenient. Therefore, music streaming platforms now provide AI assistance to help users consolidate the tracks from the music library. No need to pick the songs one by one. The AI music software will create suggestions according to the user’s previously played songs and frequently streamed artists.

Personal disc jokey

Did you know that some music streaming platforms now offer personal disc jokey to the users? Yes. It’s the newest trend nowadays. The AI DJ generally works like a typical radio announcer. It opens random conversations related to the user’s song choices and eventually plays a personalized tracklist. Good thing that this innovation has redeemed the good old days of radio and transformed them into modern channels. The young generation will certainly treasure this extraordinary listening experience.

Part 2. AI Models That Reshape the Music Streaming Services

We have previously learned that the AI music software relies on the user’s listening behavior to power automation. But simple as it may seem, this process is actually deemed complex from the technical perspective. Two artificial intelligence models are involved in this activity. First is Natural Language Processing, and the other is Collaborative Filtering. These machine-learning tools are responsible for analyzing the data from user’s listening behavior and providing relevant recommendations. Find out more about them from the discussion below.

Natural Language Processing

Natural Language Processing is a machine-learning model that analyzes large volumes of textual data. Djay Spotify and other AI music software use it to learn about the newest songs and trending artists. Basically, NLP inspects the metadata of the songs in the streaming platform. The extracted details from the song are then matched to the online articles that mention its title or artists. The AI collects a few prominent keywords from the articles and attaches them to the song. Therefore, the songs appear in the search results or recommendations based on their relevance to the keywords.

Collaborative Filtering

Collaborative Filtering is a great AI tool for automated playlist creation and smart song recommendations. It basically examines the listening behavior of the user and matches it to other users who show the same activity. Let’s say both of you have saved a similar song to your own playlists. This will alert Google AI music or other AI music software that you somehow share the same interest. Hence, the AI will suggest new songs to the former based on the playlist content of the latter and vice-versa. No keywords or relevance to trending internet topics. The recommendations rely solely on the data that have been outsourced from the listening patterns of other users.

Part 3. 3 Popular AI Music Software in Our Time

Most music streaming platforms are now incorporating artificial intelligence to improve their services. As of writing, there are lots of AI music software that are currently changing the music streaming industry. But three of them have already made a significant milestone. Listed below are the most popular AI music software of our time.

Spotify’s DJ

Artificial intelligence is not new to Spotify. It has already been used since the time Discover Weekly and Spotify Wrapped were launched on the platform. But Spotify is inclined to further explore artificial intelligence and do more. That’s why DJ has been released out in the open. It’s basically an AI-programmed disc jockey that provides personalized commentary and line-up of songs. The current version available to the public is still in the beta stage. However, you can already tell from its hyper-realistic voice and smart capabilities that DJ is indeed a game-changer. Do you want to try DJ on your Spotify app? Here’s a quick guide for you.

• Step 1: Launch the Spotify app on your smartphone.
• Step 2: Click Music.

• Step 3: Scroll down and look for the DJ card. Click on it.

• Step 4: Lastly, click the Play button to activate it. Use the other available buttons when needed.

MusicLM By Google

It’s evident that Google is dominating the digital and online space. But just recently, Google has come up with a brand-new tool that can possibly compete with other AI music software. MusicLM is a Google AI music model that transforms text prompts into music. Similar to AI image creators, you need to describe the audio you want to generate. Mention specific instruments, music styles, keys, tempo, and pitches to ensure the results are precise and accurate. MusicLM will then provide two tracks. You can choose one that best suits your preference. Just a friendly reminder: Google doesn’t allow using artists or existing songs as references to your tracks. Hence, don’t mention them in the text prompts. MusicLM is still in the development stage as of this writing. Therefore, you have to sign an application form and wait for Google’s approval before obtaining access to the platform. But who knows? It might become available soon for everyone.

OpenAI’s Jukebox

Let’s say you get inspired to kick off your music writing pursuit after listening to AI Spotify DJ. That sounds like a great plan. The question now is: What are the next steps that need to be taken? Well, you can start by creating music samples. Don’t worry. The OpenAI’s music tool can help you set it in motion. Jukebox is an AI music software that produces raw tracks based on the user’s audio data input. Unlike MusicLM, you’re allowed to use existing songs as references. Jukebox analyzes the provided audio data and generates outputs according to music elements like notes, pitch, tempo, and many others. Although this AI music software is useful for aspiring musicians, its user interface is quite technical. Individuals who are not familiar with computer codes will likely find it difficult to navigate this platform. If you’re one of them, you may instead refer to Jukebox Sample Explorer and choose from pre-made samples.