How to find a song on Google Search

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zakiyatasnim
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Joined: Tue Jan 07, 2025 4:52 am

How to find a song on Google Search

Post by zakiyatasnim »

Do you know that song that goes, "daaaaa da da daaa na naa naa ooo yea"? Or the one that starts with the guitar chords "da na naa"? We all know how frustrating it is when you can't remember the name or words to a song, but the melody is stuck in your head. Google says it can now help with that — no lyrics, artist name, or perfect pitch required.



Just hum along to find a catchy song
Now you can hum, whistle, or sing a tune in Google Search to solve the problem of a haunting song. On your mobile device, open the latest version of the Google app or find your Google Search widget, tap the south africa number data microphone icon, and say "what song is this?" or tap the "Search for a song" button. Then start humming for 10-15 seconds. The feature is currently available in English on iOS and in more than 20 languages ​​on Android (including Ukrainian). And Google plans to expand the feature to more languages ​​in the future.



Once you’ve hummed, Google’s machine learning algorithm will help you identify potential song matches. And don’t worry, you don’t need to have perfect musical ear to use this feature. The search engine will show you the most likely options based on the melody. You can then select the best match and view information about the song and artist, watch music videos or listen to the song in your favorite music app, find lyrics, and even view other recordings of the song if available.

So how does it work? A simple way to explain it is this: the melody of a song is like a fingerprint: each one has its own unique identity. Google has created machine learning models that can match your humming, whistling, or singing to the right “fingerprint.”

When you hum a tune, machine learning models transform the sound into a sequence of numbers that match the melody of the song. The models are trained to identify songs from a variety of sources, including people singing, whistling, or humming, as well as studio recordings. The algorithms also strip away all other details, such as backing instruments, timbre, and tone of voice. All that’s left is the song’s numerical sequence, or fingerprint.
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