If you love humming or just making random sounds while reading your newspaper or sipping a cup of coffee, Google's new machine learning Tone Transfer will surely excite you because it may help you create your own.
Also Read : Google Fixes Stalkerware-Categorized Apps and Allows Children Monitoring But Not Partner-Tracking
You can easily access the new feature. All you need to do is go to its official website using your Android device, laptop, or desktop (Mac or Windows). Once you access the site, you can choose the "Let's play!" option to continue or tap the "Watch short video" option to see how it works.
You'll see different inputs, including acapella (singing), birds (chirping), Carnatic (singing), Cello (performing), pots and pans (clanging), or synthesizer (riffing). These options are already prepared, which you can quickly transform into different tunes, such as saxophone, flute, violin, or trumpet.
To use your own voice, you need to click the "Add your own" input option. This allows you to record your humming or any sound you create for 15 seconds.
Google's machine learning algorithm will change your voice into digital sound, transforming it into any of the given instrument tunes.
Before you start using Tone Transfer, here are important things you need to know
It is important to note that the quality of Tone Transfer's output will depend on your background noise and mic you're going to use to record your voice. To get a good recording, you might need to take a few tries before getting the output you want.
Google's new technology uses the Differentiable Digital Signal Processing (DDSP) library created by the Magenta AI team, a company that focuses on developing open-source technologies to explore the use of machine learning in art.
With DDSP's help, Tone Transfer can use a neural network to change user audio input into DSP (Digital Signal Processors), converted into many instrument sounds.
For more news updates about Google's new machine learning technologies, always keep your tabs open here at TechTimes.
This article is owned by TechTimes,
Written by: Giuliano de Leon.