7 Top AI/ML Based Music Apps In 2021

You are in your mattress, with a ebook and a cup of espresso in hand. It’s raining, and you might be savouring the sound of rain droplets buffeting your window panes whereas your favorite songs play within the background. And probably, the music you might be listening to is really helpful by your music app.

Music apps — that leverages the latest AI, ML technologies — have turn into a necessary a part of our each day routines. 

Here, we take a look at the 7 high AI/ML-based music apps and the tech powering them:


The app has over 50 million songs and collects a number of details about music tastes, search habits, playlists, geographical location, and most-used units. Spotify analyses these information and builds ML algorithms based mostly on it to grasp your music preferences higher and make new types, musicians, and songs simpler to find. The app prepares a personalised listing of 30 songs for every consumer, and for this, the platform makes use of varied audio fashions and NLPs. “Spotify for Artists” gives singers and artists with helpful information about their viewers, demography, location, preferences, and many others.


Gaana has improved the music search performance with a machine-learning-based search characteristic. It presents music suggestions based mostly on the consumer’s listening historical past. The app creates personalised playlists from totally different genres in its “Made for you Mixes and Playlists,” for a greater listening expertise. The voice search possibility can also be out there on the app, permitting customers to search for songs, singers, motion pictures, lyrics, moods, and events.

For extra particulars, take a look at this interview with Gaana CEO Prashan Agarwal. 


JioSaavn app leverages AI with conventional collaborative filtering strategies, comparable to Matrix Factorization and Word2Vec, additional augmented with deep learning-based fashions. The app affords high-quality recommendations in English, Hindi and regional languages. Moreover, the chosen music tracks are accompanied by 15-second looping visuals. Artist profiles are additionally revised repeatedly to incorporate latest releases, featured playlists, and a complete discography.

Amazon Prime Music

Alexa, Amazon’s AI assistant, is included into the Amazon Prime Music app. You merely must faucet the Alexa icon and might play music with instructions like, “Play Hindi music,” “Play 80s Romantic songs,” or “Play Workout songs.” You may obtain an infinite variety of songs from Amazon Prime Music to hear whereas offline. Prime Music is out there on all Amazon merchandise, together with the positioning.

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The platform allows subscribers to hearken to an infinite variety of songs throughout genres and artists in a number of languages. Users can present voice instructions to Google Assistants on smartphones and good audio system from Google Nest to hearken to their favorite tracks. Hungama’s providers can be found by way of an AI-enabled chatbot referred to as ‘Ask DISHA,’ which might be discovered on the IRCTC web site and cell app. Users will be capable to entry Hungama Music by way of the chatbot and hearken to songs and watch movies. Moreover, Hungama providers might be availed on Alexa as nicely.

Apple Music

Apple’s iTunes and iPod modified the music business endlessly. Apple has acquired each Siri and Shazam to enhance the standard of their providers. Siri is a digital assistant that responds to voice instructions. Shazam is an app that may recognise the audio materials by sampling the sound. Genius Playlist is an AI-based service in Apple Music to assist customers get entry to their favorite songs.

YouTube Music (Earlier Google Play Music)

YouTube music developed a system that makes use of convolutional neural networks (CNNs) to remodel just a few seconds of audio into a selected “fingerprint.” This fingerprint is then in comparison with tens of hundreds of music databases saved on the pc, modified repeatedly to incorporate newly launched tracks and delete the outdated ones. Google has constructed a light-weight, highly effective music recogniser that solely wants a small fingerprint for every monitor within the database, enabling music recognition to be achieved fully on-device and with out utilizing the web.

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kumar Gandharv

kumar Gandharv

Kumar Gandharv, with a PG Diploma in English Journalism (IIMC, Delhi), is setting out on a journey as a tech Journalist at AIM. A eager observer of National and IR-related information. He likes to hit the health club.


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