Music apps

7 best AI / ML-based music apps in 2021


You are in bed with a book and a cup of coffee in your hand. It’s raining and you savor the sound of rain droplets shaking your windows as your favorite songs play in the background. And most likely, the song you are listening to is recommended by your music app.

Music apps, which harness the latest AI and ML technologies, have become an essential part of our daily routines.

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Here, we take a look at the 7 best AI / ML-based music apps and the technology that powers them:


The app contains over 50 million songs and collects a lot of information about music tastes, search habits, playlists, geographic location, and most used devices. Spotify analyzes this data and builds ML algorithms based on it to better understand your musical preferences and make it easier to discover new styles, musicians and songs. The application prepares a personalized list of 30 songs for each user, and for this, the platform uses various audio and NLP models. “Spotify for Artists” provides singers and artists with useful data about their audience, demographics, location, preferences, and more.


Gaana has improved the song search functionality with a machine learning based search feature. It presents song recommendations based on the user’s listening history. The app creates personalized playlists of different genres in its “Mixes & Playlists Designed For You”, for a better listening experience. Voice search option is also available on the app, allowing users to search for songs, singers, movies, lyrics, moods and occasions.

For more details, check out this interview with Gaana.


The JioSaavn app uses deep neural networks to recommend music to its listeners. The AI ​​engine uses attention-based models to extract the song’s characteristics from its audio and match it to users who want to listen to it. The app offers high quality suggestions in English, Hindi and regional languages. In addition, the selected song tracks come with 15-second loop visuals. Artist profiles are also reviewed regularly to include recent releases, featured playlists, and a full discography.

Amazon Prime Music

Amazon’s AI assistant Alexa is integrated with the Amazon Prime Music app. Just tap the Alexa icon and you can play music with commands like “Play Hindi Music”, “Play Romantic 80s Songs” or “Play Practice Songs” “. You can also download unlimited number of songs from Amazon Prime Music to listen to them offline. Prime Music is available on all Amazon products, including the site.


The platform allows subscribers to listen to an endless number of songs from different genres and artists in multiple languages. Users can provide voice commands to Google Assistants on Google Nest smartphones and smart speakers to listen to their favorite tunes. Hungama’s services are available through an AI-enabled chatbot called ‘Ask DISHA’, which can be found on the IRCTC website and mobile app. Users will be able to access Hungama Music through the chatbot and listen to songs and watch videos. In addition, Hungama services can also be used on Alexa.

Apple Music

Apple’s iTunes and iPod have changed the music industry forever. Apple acquired both Siri and Shazam to improve the quality of their services. Siri is a virtual assistant that responds to voice commands. Shazam is an application which can recognize audio material by sampling the sound. Genius Playlist is an AI-based service in Apple Music to help users access their favorite songs.

YouTube Music (old Google Play Music)

YouTube Music has developed a system that uses convolutional neural networks (CNNs) to transform seconds of audio into a specific “fingerprint”. This fingerprint is then compared to tens of thousands of song databases stored on the computer, regularly modified to include newly released tracks and delete old ones. Google has designed a lightweight and powerful music recognition tool that only needs a small fingerprint for each track in the database, allowing music to be recognized entirely on the device and without using the internet.

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Kumar Gandharv

Kumar Gandharv, PGD in English Journalism (IIMC, Delhi), is embarking on a journey as a technical journalist at AIM. A keen observer of national and IR news. He loves going to the gym. Contact: [email protected]


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