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Could AI design the ‘perfect’ speaker (or any other audio component !)

Ra1zel

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As the question says - could AI take everything we know and do better than a human designer ?
You would first need to define what is a perfect speaker... that's not possible imo
 

Emlin

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I don't see why not, they are already using AI tools to design and build hotels in China...

And schools in the UK...

 
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CapMan

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CapMan

CapMan

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You would first need to define what is a perfect speaker... that's not possible imo
So, how would you start to define that goal
Size
Price
Distortion
Flatness of reponse
Directivity
What else ?

Could you ask the AI to take a best in class archetype and make it perfect ?
 

pjug

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I just want a spam filter that works. If that can't be done then I don't have much hope for AI as a go to for advanced tasks.
 

phoenixdogfan

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I'm sure it could optimize a design based on the parameters it's been given, but given that those parameters would not capture something that would be universally perfect for everyone, I'm equally certain it couldn't do that. It might, however, be able to design a speaker whose design parameters would be least objectionable to the greatest number of people by absorbing the psycho acoustic research and using speaker design and acoustic research to create something that linearly optimizes those qualities.
 

Salt

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Back on topic:
an ideal speaker would reproduce a given signal from a source (amp or preamp) without distortion primary on axis and secondary without significant directivity.
Agree?
 

001

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If we absolutely insist on function over form then, eventually given sufficient input, I believe ai could do this. However, apply this idea to cars and i quickly realise that's i do not subscribe to the 'function over form' design model. Quite the opposite in fact if I'm being really honest with myself. I don't think I'm alone in this. Witness the ai generated buildings previously mentioned for example.
 

ta240

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Why would it be qualified? In essence someone or something has to teach it.
It would need to be specifically trained. Just pulling from all the information on the internet would likely cause it to come up with some errors. So the results of just asking a current AI to design a speaker would be questionable. When AI is trained they feed it the information and then they give it a large set of questions and rate its answers. It 'learns' from that feedback what answers not to give in the future. At this point if the people rating the answers have a different idea of a 'perfect' speaker then the AI will consider those people's opinion to be fact and it will design your speaker based off their personal thinking. This is the point in the process where AIs develop biases.
 

Salt

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Correct.
AI needs to be speficillaly trained, means feeded with reliable (independent!) data resources of drivers and, not to forget, enclosures.
In the latter may occur the clue.
 

AudiOhm

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Every speaker/electronics designer thinks their design is the best...

Ohms
 

AudiOhm

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There are no better book shelf speakers than the ones I designed and built...

Ohms
 

Berwhale

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It would need to be specifically trained. Just pulling from all the information on the internet would likely cause it to come up with some errors. So the results of just asking a current AI to design a speaker would be questionable. When AI is trained they feed it the information and then they give it a large set of questions and rate its answers. It 'learns' from that feedback what answers not to give in the future. At this point if the people rating the answers have a different idea of a 'perfect' speaker then the AI will consider those people's opinion to be fact and it will design your speaker based off their personal thinking. This is the point in the process where AIs develop biases.

You could swap 'it' for 'they/them' and 'AI' for 'human' in your text and it still makes perfect sense :)
 

stubaggs

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I am engineer and work in technology, but I am not an electrical / audio engineer. I actually think I suffer from imposter syndrome in this forum

As the question says - could AI take everything we know and do better than a human designer ?
Here is an example of traditional AI/ML used to design an antenna. As the other posters noted the challenge would be to define how to evaluate 'best', but if we could......
 

kemmler3D

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AI can only interpolate and not extrapolate
This isn't strictly true - as @nerdstrike hinted at, AI can randomly generate new "ideas" and simulate their performance, gradually combining and selecting among the best performers. It's an "evolutionary" type of algorithm, not sure if "AI" is the right word for it, though. There are examples of new modes of walking coming from algorithms like this.

IN THEORY you could come up with new tech or designs for drivers this way, but I think the simulation would be so demanding that you're better off just asking an engineer to do it.
 

kemmler3D

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Here is an example of traditional AI/ML used to design an antenna. As the other posters noted the challenge would be to define how to evaluate 'best', but if we could......
Actually, if you just set an optimization algorithm at the task of "Build a speaker that gets a 10.0 preference score" you could probably get pretty far. If the task is "come up with a speaker that I like more than one with a 10.0 preference score" you're going to be spinning wheels forever.
 
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