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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
Practical uses of acoustic fingerprinting include identifying songs, melodies, tunes, or advertisements; sound effect library management; and video file identification. Media identification using acoustic fingerprints can be used to monitor the use of specific musical works and performances on radio broadcast , records , CDs , streaming media ...
SoundHound AI's stock started trading at $8.72 after it went public by merging with a special purpose acquisition company on April 28, 2022, and it soared to a record high of $14.98 about a week ...
One of the classical MIR research topics is genre classification, which is categorizing music items into one of the pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, instrument identification, and music tagging are also popular topics.
Nvidia Corp (NASDAQ:NVDA) showcased a groundbreaking generative AI model named Fugatto. This model is designed as a versatile tool for creating and modifying sounds using text and audio prompts.
The new generative artificial intelligence model, called Fugatto, was built by a team at computer chip giant Nvidia who wanted to create a “Swiss Army knife for sound”.
The company was co-founded in 2005 by Keyvan Mohajer, an Iranian-Canadian computer scientist and entrepreneur who specializes in voice AI. [10]In 2009, the company's music discovery app Midomi was rebranded as SoundHound, but is still available as a web version on midomi.com. [11] [12] The app grew from 2 million users in January 2010 to 100 million users in September 2012.
A more nascent development of AI in music is the application of audio deepfakes to cast the lyrics or musical style of a pre-existing song to the voice or style of another artist. This has raised many concerns regarding the legality of technology, as well as the ethics of employing it, particularly in the context of artistic identity. [ 59 ]
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