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Discover Ludwig"machine-generated voice" is a correct and usable phrase in written English
You can use it when talking about a voice that is produced or synthesized by a machine or computer program, rather than a human being. This could be used in a variety of contexts, such as: - When discussing the advancements in technology, you could say, "The development of machine-generated voices has greatly improved the accessibility of voice-activated devices." - If describing a recording or announcement, you might say, "The machine-generated voice on the automated phone system sounded robotic and unnatural." - In a futuristic setting, you could write, "The characters communicated with each other using their own customized machine-generated voices."
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Studies of machine voices - synthetic or machine-generated voices - show that human listeners assign gender to machine voices; that is to say, we interpret these machine-generated voices as the voice of a woman or a man, even when designers have tried to create a gender-neutral voice (Nass and Brave 2005; Lee et al. 2007).
They are machine-generated, generally unseen or untouched by human eyes or hands until the taxpayer responds to the notice.
The tone of the music is airless, sealing out imprecision and reveling in crisp, machine-generated rhythms; Ms. Jackson's piping voice, layered upon itself in punchy unisons or lavish harmonies, never cracks or falters.
However, Pareles commended its musicality and vocals, stating, "The tone of the music is airless, sealing out imprecision and reveling in crisp, machine-generated rhythms; Ms. Jackson's piping voice, layered upon itself in punchy unisons or lavish harmonies, never cracks or falters".
I guess they just figure that all voices and sounds are machine-generated now, but that's not quite true yet -- though we're certainly headed that way.
The interplay of machine-generated sounds and the natural power of the human voice has always been a constant in her work, explored extensively on 2004's Medúlla.
Integrate machine-generated data to personalize interactions.
Likewise, Brynjolfsson doesn't find the idea of machine-generated populist luxury outlandish.
What methodological reorientations are demanded by the scale and dynamism of machine-generated cultural artifacts?
At these sites, users can input a block of text, and a machine-generated translation pops up almost instantaneously.
This is closer to how most decision-making works today, whether or not it includes machine-generated predictions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com