- Forum Clout
- 15,583
It’s fucking spot on. It’s a bit too fast from the way they naturally talk but god damn this gave me goose bumps.
AI terrifies me though, no BS
DMCA, complaints, and other inquiries:
It’s fucking spot on. It’s a bit too fast from the way they naturally talk but god damn this gave me goose bumps.
You tagged the wrong person, ssstupid.
Same.AI terrifies me though, no BS
Hopefully sucking on a shotgun with a toe trigger attachment while wearing a metal hat.Where's Yimmy?
I thought about that a while ago. It's possible, but it's a lot of work, especially if you want their dialogue to actually sound somewhat natural and accurate. Here's the high level flow I came up with:Incredible. Someone smart could probably write some kind of program that would scrape the news each morning and make a fake show out of it.
I thought about that a while ago. It's possible, but it's a lot of work, especially if you want their dialogue to actually sound somewhat natural and accurate. Here's the high level flow I came up with:
The only problem here would be spacing out the audio files when creating the combined audio track. I have no idea how you could automate natural pauses and interruptions, so you'd probably be better off manually editing it all together, but that's still not super easy to do.
- The program starts by calling GPT4 for a list of current events, with a focus on topics relevant to what O&A would discuss, and output it to some format.
- Now you could use GPT-4 to create the actual script, but it won't have enough data to output something that would sound like them actually conversing. To get that, you could use a local LLM and train a LoRA on a dataset full of quotes and conversations from O&A and certain facts that might not be there already, like nana's love for a boy named sue.
- Send the list of events and stuff to the local model with a prompt for creating a script that will output to a standard format. Depending on how long you want it to be, the token limit of the model, and the hardware used to run the model, you may have to break it up into separate prompts.
- Then you have the app break up the conversation and send each instance of each speaker talking to a text-to-speech program (this can also be done locally).
- Most TTS models aren't very accurate, so you'd probably then want to export the audio files to RVC (which was used for OP's audio) to replace the TTS voices with O&A's. The files should output with some sequenced naming convention.
- The program could then re-compile the conversation into one single audio file and throw Street Fighting Man at the beginning.
There's a lot of manual stuff that would make it better, like recording yourself reading the script and using RVC on that instead of the TTS output, but this is just a theoretical automated end to end solution.
so good luck to to whoever wants to make that
With the weekly windows 10 updates, I've had to have my OS reinstalled TWICE due to compatibility issues. Now, $200 geek squad dollars later, I've eliminated that mess but I get this pop-up scam, when I take the computer out of sleep mode, that has a window that won't close and audio of some limey twunt telling me that my computer's been infected by a virus from a malicious porn site and that I need to call the number on the screen because all of my personal info including Passwords for banking, social media sites, credit cards, etc... etc... have been compromised.I thought about that a while ago. It's possible, but it's a lot of work, especially if you want their dialogue to actually sound somewhat natural and accurate. Here's the high level flow I came up with:
The only problem here would be spacing out the audio files when creating the combined audio track. I have no idea how you could automate natural pauses and interruptions, so you'd probably be better off manually editing it all together, but that's still not super easy to do.
- The program starts by calling GPT4 for a list of current events, with a focus on topics relevant to what O&A would discuss, and output it to some format.
- Now you could use GPT-4 to create the actual script, but it won't have enough data to output something that would sound like them actually conversing. To get that, you could use a local LLM and train a LoRA on a dataset full of quotes and conversations from O&A and certain facts that might not be there already, like nana's love for a boy named sue.
- Send the list of events and stuff to the local model with a prompt for creating a script that will output to a standard format. Depending on how long you want it to be, the token limit of the model, and the hardware used to run the model, you may have to break it up into separate prompts.
- Then you have the app break up the conversation and send each instance of each speaker talking to a text-to-speech program (this can also be done locally).
- Most TTS models aren't very accurate, so you'd probably then want to export the audio files to RVC (which was used for OP's audio) to replace the TTS voices with O&A's. The files should output with some sequenced naming convention.
- The program could then re-compile the conversation into one single audio file and throw Street Fighting Man at the beginning.
There's a lot of manual stuff that would make it better, like recording yourself reading the script and using RVC on that instead of the TTS output, but this is just a theoretical automated end to end solution.
so good luck to to whoever wants to make that
You lost me somewhere between 1 & 2.I thought about that a while ago. It's possible, but it's a lot of work, especially if you want their dialogue to actually sound somewhat natural and accurate. Here's the high level flow I came up with:
The only problem here would be spacing out the audio files when creating the combined audio track. I have no idea how you could automate natural pauses and interruptions, so you'd probably be better off manually editing it all together, but that's still not super easy to do.
- The program starts by calling GPT4 for a list of current events, with a focus on topics relevant to what O&A would discuss, and output it to some format.
- Now you could use GPT-4 to create the actual script, but it won't have enough data to output something that would sound like them actually conversing. To get that, you could use a local LLM and train a LoRA on a dataset full of quotes and conversations from O&A and certain facts that might not be there already, like nana's love for a boy named sue.
- Send the list of events and stuff to the local model with a prompt for creating a script that will output to a standard format. Depending on how long you want it to be, the token limit of the model, and the hardware used to run the model, you may have to break it up into separate prompts.
- Then you have the app break up the conversation and send each instance of each speaker talking to a text-to-speech program (this can also be done locally).
- Most TTS models aren't very accurate, so you'd probably then want to export the audio files to RVC (which was used for OP's audio) to replace the TTS voices with O&A's. The files should output with some sequenced naming convention.
- The program could then re-compile the conversation into one single audio file and throw Street Fighting Man at the beginning.
There's a lot of manual stuff that would make it better, like recording yourself reading the script and using RVC on that instead of the TTS output, but this is just a theoretical automated end to end solution.
so good luck to to whoever wants to make that
HOLY SI thought about that a while ago. It's possible, but it's a lot of work, especially if you want their dialogue to actually sound somewhat natural and accurate. Here's the high level flow I came up with:
The only problem here would be spacing out the audio files when creating the combined audio track. I have no idea how you could automate natural pauses and interruptions, so you'd probably be better off manually editing it all together, but that's still not super easy to do.
- The program starts by calling GPT4 for a list of current events, with a focus on topics relevant to what O&A would discuss, and output it to some format.
- Now you could use GPT-4 to create the actual script, but it won't have enough data to output something that would sound like them actually conversing. To get that, you could use a local LLM and train a LoRA on a dataset full of quotes and conversations from O&A and certain facts that might not be there already, like nana's love for a boy named sue.
- Send the list of events and stuff to the local model with a prompt for creating a script that will output to a standard format. Depending on how long you want it to be, the token limit of the model, and the hardware used to run the model, you may have to break it up into separate prompts.
- Then you have the app break up the conversation and send each instance of each speaker talking to a text-to-speech program (this can also be done locally).
- Most TTS models aren't very accurate, so you'd probably then want to export the audio files to RVC (which was used for OP's audio) to replace the TTS voices with O&A's. The files should output with some sequenced naming convention.
- The program could then re-compile the conversation into one single audio file and throw Street Fighting Man at the beginning.
There's a lot of manual stuff that would make it better, like recording yourself reading the script and using RVC on that instead of the TTS output, but this is just a theoretical automated end to end solution.
so good luck to to whoever wants to make that
16 internet dickI thought about that a while ago. It's possible, but it's a lot of work, especially if you want their dialogue to actually sound somewhat natural and accurate. Here's the high level flow I came up with:
The only problem here would be spacing out the audio files when creating the combined audio track. I have no idea how you could automate natural pauses and interruptions, so you'd probably be better off manually editing it all together, but that's still not super easy to do.
- The program starts by calling GPT4 for a list of current events, with a focus on topics relevant to what O&A would discuss, and output it to some format.
- Now you could use GPT-4 to create the actual script, but it won't have enough data to output something that would sound like them actually conversing. To get that, you could use a local LLM and train a LoRA on a dataset full of quotes and conversations from O&A and certain facts that might not be there already, like nana's love for a boy named sue.
- Send the list of events and stuff to the local model with a prompt for creating a script that will output to a standard format. Depending on how long you want it to be, the token limit of the model, and the hardware used to run the model, you may have to break it up into separate prompts.
- Then you have the app break up the conversation and send each instance of each speaker talking to a text-to-speech program (this can also be done locally).
- Most TTS models aren't very accurate, so you'd probably then want to export the audio files to RVC (which was used for OP's audio) to replace the TTS voices with O&A's. The files should output with some sequenced naming convention.
- The program could then re-compile the conversation into one single audio file and throw Street Fighting Man at the beginning.
There's a lot of manual stuff that would make it better, like recording yourself reading the script and using RVC on that instead of the TTS output, but this is just a theoretical automated end to end solution.
so good luck to to whoever wants to make that
I would love to hear forum recaps with this as well.Incredible. Someone smart could probably write some kind of program that would scrape the news each morning and make a fake show out of it.
What a great idea!I would love to hear forum recaps with this as well.
This forum is dedicated exclusively to parody, comedy, and satirical content. None of the statements, opinions, or depictions shared on this platform should be considered or treated as factual information under any circumstances. All content is intended for entertainment purposes only and should be regarded as fictional, exaggerated, or purely the result of personal opinions and creative expression.
Please be aware that this forum may feature discussions and content related to taboo, controversial, or potentially offensive subjects. The purpose of this content is not to incite harm but to engage in satire and explore the boundaries of humor. If you are sensitive to such subjects or are easily offended, we kindly advise that you leave the forum.
Any similarities to real people, events, or situations are either coincidental or based on real-life inspirations but used within the context of fair use satire. By accepting this disclaimer, you acknowledge and understand that the content found within this forum is strictly meant for parody, satire, and entertainment. You agree not to hold the forum, its administrators, moderators, or users responsible for any content that may be perceived as offensive or inappropriate. You enter and participate in this forum at your own risk, with full awareness that everything on this platform is purely comedic, satirical, or opinion-based, and should never be taken as factual information.
If any information or discussion on this platform triggers distressing emotions or thoughts, please leave immediately and consider seeking assistance.
National Suicide Prevention Lifeline (USA): Phone: 1-800-273-TALK (1-800-273-8255) Website: https://suicidepreventionlifeline.org/