Why don't AI systems have good voices?

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In summary, AI systems currently struggle with creating human-like voices due to the complexity of recognizing and creating human speech, which requires advanced pattern recognition abilities. Human speech is inflected with changes in pitch, amplitude, and speed depending on the meaning of the words, making it a difficult task for computers. Once computers are able to understand meaning in the same way as humans, speech generation should become easier.
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IntegrateMe
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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.
 
  • #3


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:
 
  • #4


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  • #5


There are a few reasons why AI systems may not have "good" voices. First, creating a natural-sounding voice for an AI system requires advanced technology and algorithms that can accurately mimic human speech patterns, intonations, and emotions. This is a challenging task and may not be a top priority for developers of AI systems.

Additionally, the cost of developing and implementing high-quality voice technology may be prohibitive for some AI systems. As a result, many AI systems may use basic or synthesized voices that may not sound as natural or human-like.

Furthermore, the concept of a "good" voice is subjective and can vary based on cultural and personal preferences. It is difficult to create a voice that will please everyone and meet their expectations of what a "good" voice should sound like.

Overall, while there have been advancements in AI voice technology, it is still a complex and ongoing area of research and development. As AI technology continues to evolve, we may see improvements in the quality of AI voices, but it may never fully match the complexity and nuances of human speech.
 

Related to Why don't AI systems have good voices?

Why don't AI systems have good voices?

There are a few reasons why AI systems may not have good voices:

1. Lack of natural intonation and expression: AI systems may not be able to mimic the natural cadence and tone of human speech, making their voices sound robotic and unnatural.

2. Limited training data: In order for AI systems to have good voices, they need to be trained on a large amount of high-quality speech data. If the training data is limited or of poor quality, the resulting voice may not sound as human-like.

3. Difficulty with complex sounds: Human speech involves a complex combination of sounds, including variations in pitch, tone, and pronunciation. AI systems may struggle to accurately produce these sounds, resulting in a less realistic voice.

4. Lack of emotional understanding: Human speech is not just about the words being spoken, but also the emotions and intentions behind them. AI systems may have difficulty understanding and conveying these nuances, leading to a lack of emotion in their voices.

5. Constantly evolving technology: While AI voices have come a long way in recent years, there is still room for improvement. As technology continues to evolve, we can expect AI systems to have better and more realistic voices in the future.

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