'Hum to Know': Google launches new feature to help users search songs without lyrics

Google has come up with a series of new updates, one of which, allows its users to identify a song. Being called as ‘Hum to Kw’ feature, it allows user to identify a forgotten song by humming for 10-15 seconds. According to a blog by Krishna Kumar who is Senior Product Manr of Google Search, feature is currently available in English for iOs users. However, for android users, this feature can be used in 20 different langus.

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How to use 'hum to kw' feature?

For being able to use feature, one needs to have latest version of Google App or can simply tap on mic button on Google Search widget and n say “what's this song?”. After this, user needs to hum song and results will appear within 10-15 seconds. user can also “Search a song” button and n start humming for 10-15 seconds. new feature uses a machine learning algorithm which helps in identifying potential song matches.

Krishna wrote, “And don’t worry, you don’t need perfect pitch to use this feature. We’ll show you most likely options based on tune. n you can select best match and explore information on song and artist, view any accompanying music videos or listen to song on your favorite music app, find lyrics, re analysis and even check out or recordings of song when available”. 

(Im Credits: blogs.google)

(Im Credits: blogs.google)

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Comparing song’s melody to a ‘fingerprint’, Krishna in blog says that both things have ir ‘unique identity’. Special machine learning models have been built that enables it to match with hum, whistle or singing to right “fingerprint.” After user hums, se machine learning models are used to transform audio into a number-based sequence. special algorithms also take away all or details like instrument, thus, making it easier to recognize song. Giving an example, Krishna wrote, “For example, if you listen to Tones and I’s “Dance Monkey,” you’ll recognize song wher it was sung, whistled, or hummed. Similarly, our machine learning models recognize melody of studio-recorded version of song, which we can use to match it with a person’s hummed audio”.

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(Im Credits: Blog.google)