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Tunebot is a music search engine developed by the Interactive Audio Lab at Northwestern University. Users can search the database by humming or singing a melody into a microphone, playing the melody on a virtual keyboard, or by typing some of the lyrics. This allows users to finally identify that song that was stuck in their head.
Search by sound is the retrieval of information based on audio input. There are a handful of applications, specifically for mobile devices that utilize search by sound. Shazam, Soundhound, Axwave, ACRCloud and others have seen considerable success by using a simple algorithm to match an acoustic fingerprint to a song in a library
Query by humming (QbH) is a music retrieval system that branches off the original classification systems of title, artist, composer, and genre. It normally applies to songs or other music with a distinct single theme or melody. The system involves taking a user-hummed or whistled melody (input query) and comparing it to an existing database ...
Tools aim to embrace artificial intelligence without upsetting labels or stealing from musicians
The company was co-founded in 2005 by Keyvan Mohajer, an Iranian-Canadian computer scientist and entrepreneur who specializes in voice AI. [11]In 2009, the company's music discovery app Midomi was rebranded as SoundHound, but is still available as a web version on midomi.com. [12] [13] The app grew from 2 million users in January 2010 to 100 million users in September 2012.
It stands to reason that AI’s dominance over the music industry will be slow and only partial—for now. Blau notes that live performances and relatable human vocalists will always be in demand.
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Software for music information retrieval — Semantic Web and musical digital objects, intelligent agents, collaborative software, web-based search and semantic retrieval, query by humming / Search by sound, acoustic fingerprinting; Music analysis and knowledge representation — automatic summarization, citing, excerpting, downgrading ...