AI has brought new ways to experience music streaming by creating personalised experiences. Streaming platforms have found ways for AI to make custom playlists, recommendations, and music discovery features that go well with each listener’s tastes.
This technology shows users a world of new music and takes up their engagement with favourite artists.
What Is Google’s YouTube Music Gemini Extension?
Google is working on the Gemini extension to enhance YouTube Music. As much as it isn’t officially out yet, this AI-based feature intends to to give personalised music recommendations by leveraging users’ playlists, listening history, and preferences.
It’s made to play, search, and discover songs based on mood and preferences, directly linking users to YouTube Music’s large library.
The Features For Gemini Extension
- Expected to access user data like playlists and listening history.
- Designed to personalise search results based on preferences.
- Users can also search for specific genres, artists, or moods they want.
Even though it isn’t launched as of yet, this extension will make music recommendations more accurate, so there’s improved engagement with the platform. The Gemini is Google’s part in bettering streaming experiences through AI, and it may be introduced soon!
How Is Spotify Bettering Music Discovery?
Spotify’s AI Playlist feature lets Premium users to create personalised playlists through specific prompts. Users can enter a phrase or mood, such as “relaxing music for studying,” and Spotify’s AI will curate a playlist that fits the theme.
How to Use AI Playlist:
- Open Spotify, navigate to “Your Library,” and click the “+” button.
- Type a prompt or choose a suggested one, e.g., “80s workout music.”
- AI Playlist generates a playlist based on the prompt.
There are so many options to discover new music, especially through playlists that suit the mood, with Spotify’s AI Playlist feature.
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How Is AI Improving Music Recommendations?
Spotify’s partnership with Google Cloud announced they use LLMs for a more accurate recommendation system.
LLMs look at user behaviour, such as the types of podcasts and audiobooks they listen to, to give better recommendations.
AI-Powered Recommendations:
Content discovery: Analyses user behaviour to recommend new music.
Safe listening: Uses LLMs to filter out harmful content.
Personalised curation: in order to suggest the best songs, AI gets to know users’ preferences.
With excitement about the partnership, Gustav Söderström, Co-President and CTO of Spotify commented, “The evolution of our technology has been matched by Google Cloud’s commitment to building the best possible platform for our products to run on.” Spotify’s use of AI tools helps provide a more personalised listening experience.
How Is AI Helping Streamline Music Metadata?
Musiio, a company focused on music AI, has an objective to create a more streamlined experience for music metadata by analysing big amounts of music quickly, with AI.
Hazel Savage, CEO and Co-Founder of Musiio, explained that the company’s AI can process vast amounts of music data efficiently. “It would take a human being 83 days, 24 hours a day, to listen to 40,000 songs,” she mentioned.
Advantages Of AI for Music Metadata:
- Automatically assigns genres, BPM, and moods.
- Songs are better organised and search optimised.
- Allows platforms to give better recommendations.
Musiio’s AI-driven strategies have been embraced by streaming services and music libraries to refine their music catalogues, giving users a better and more personalised experience.
