Why don't AI systems have good voices?

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AI systems struggle to produce "good" voices because replicating human speech involves complex nuances like pitch, amplitude, and speed variations that convey meaning. Current technology falls short in pattern recognition compared to human capabilities, making it challenging to inflect speech appropriately. Understanding context and meaning in conversation is a significant hurdle for AI, which complicates voice synthesis. Until AI can grasp human-like comprehension, generating natural-sounding speech remains difficult. Advancements in this area are necessary for more effective AI communication.
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Why don't AI systems have "good" voices?

Is it difficult to engineer an AI system that actually sounds like a human (in terms of speaking)?
 
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I'm not sure what AI and voice synthesizers have to do with each other, but I can tell you that recognizing and creating human speech, different though they are, are both VERY difficult.

It's one of many areas where human's abilities at pattern recognition is WAY ahead of anything computers are currently able to do.
 


Human speech is "inflected" with changes of pitch, amplitude, and speed (relative length of vowels, etc) depending on the MEANING of what is being said.

For example
"JOHN ran down these stairs" (i.e John ran down, but somebody else did not).
"John RAN down these stairs" (i.e he didn't walk).
"John ran DOWN these stairs" (i.e. he didn't run up them).
"John ran down THESE stairs" (i.e. not some other stairs)
"John ran down these STAIRS" (i.e. not down the street).

Once you can get a computer to understand meaning the same way that a human does, speech generation should be pretty simple IMO. :smile:
 


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