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鈥檚 tastes.
This technology shows users a world of new music and takes up their engagement with favourite artists.
What Is Google鈥檚 YouTube Music Gemini Extension?
Google is working on the Gemini extension to enhance YouTube Music. As much as it isn鈥檛 officially out yet, this AI-based feature intends to to give personalised music recommendations by leveraging users鈥� 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鈥檚 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鈥檛 launched as of yet, this extension will make music recommendations more accurate, so there鈥檚 improved engagement with the platform. The Gemini is Google鈥檚 part in bettering streaming experiences through AI, and it may be introduced soon!
How Is Spotify Bettering Music Discovery?
Spotify鈥檚 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鈥檚 AI will curate a playlist that fits the theme.
How to Use AI Playlist:
- Open Spotify, navigate to 鈥淵our Library,鈥� and click the 鈥�+鈥� button.
- Type a prompt or choose a suggested one, e.g., 鈥�80s workout music.鈥�
- 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鈥檚 AI Playlist feature.
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How Is AI Improving Music Recommendations?
Spotify鈥檚 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鈥� preferences.
With excitement about the partnership, Gustav S枚derstr枚m, 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鈥檚 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鈥檚 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.
