Launched in October, Hum to Search is a new fully machine-learned system within Google Search that allows a person to find a song using only a hummed rendition of it.
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However, this type of approach often relies on a limited database that requires manual updates. That’s why so many existing approaches to query by humming match the hummed tune against a database of pre-existing melody-only or hummed versions of a song, instead of identifying the song directly. By mistake or design, when someone hums their interpretation of a song, often the pitch, key, tempo or rhythm may vary slightly or even significantly. With lyrics, background vocals and instruments, the audio of a musical or studio recording can be quite different from a hummed tune.
But what if you can’t quite recall the name of the song, and can only hum the melody?Įxisting methods to match a hummed melody to its original polyphonic studio recording face several challenges. Research has found that engaging with the original song, whether that’s listening to or singing it, will drive the earworm away. Melodies stuck in your head, often referred to as “ earworms,” are a well-known and sometimes irritating phenomenon - once that earworm is there, it can be tough to get rid of it. Posted by Christian Frank, Google Research, Zürich
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