Have you ever gone through a moment when you don’t remember the lyrics of a song but the tune is stuck in your head? It’s a personally disturbing moment when Google can hear but unable to find your tune. Therefore, the California-based tech giant has added the latest feature Hum to Search 🔍 to its assistant & search which will rectify the above issue.
Do you know what’s really cool? You can now ask from Google “What’s this song?” And then hum or whistle it. Google then returns those hits that are most likely to apply.
Hence, the new feature will help you find a song just by humming, whistling, or singing a melody – no lyrics, artist name, or perfect pitch required.
According to Google, a song’s melody is like its fingerprint.
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How Hum to Search 🔍 works?
- Open the latest version of the Google Search app or find your search widget.
- Tap the mic icon, and just say: What’s this song? or click the Search a song button. Then, start humming for 10-15 seconds.
On Google Assistant: Simply say – Hey Google, what’s this song? and then hum the tune.
- Based on your tune, Google’s machine learning algorithm will show the most likely options,
- and you can select the best match, view any accompanying music videos or listen to the song on music apps 🎵.
Don’t worry, you don’t need a perfect pitch to use this feature. Google will show you the most likely options based on the tune.
The all-new Hum to Search feature is currently available in more than 20 languages on Android and works in English for iOS users.
Thus, through Hum to Search feature, you can
- select the best match and explore information on the song and artist,
- view any accompanying music videos or listen to the song on your favorite music app,
- find the lyrics, read analysis, and even check out other recordings of the song when available.
How does the search algorithm work?
It’s a machine-learning algorithm that transforms the audio input into a number-based sequence which it then matches to other song melodies and tries to find the closest one.
The machine learning models are trained with several sources with actual people singing, humming, and whistling in addition to real studio recordings.
Google’s algorithms can also strip away musical instruments, as well as the timbre and tone of the singer’s voice in order so it only relies on the actual numeric sequence in the song matching process.