Row 59370

Row ID: 59370 | Dataset Entry | Axioma AXP Content Repository

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It's pretty easy honestly... In forensic voice analysis there are four properties you analyze. Spectographic (you load both voices up in a audio editor and compare how similar the freq spectrum looks like), formant analysis (you compare the formants in one's voice), pitch (the fundamental pitch of a voice) and temporal analysis (rhythm, speed of the voice)

You can do it yourself with for example Praat: https://www.fon.hum.uva.nl/praat/

And the two voices we're talking about aren't similar in any of those properties. I would also bet 5 reddit bucks that OpenAi also did a forensic analysis comparing their voices with the voices of famous actors just to be safe in case anyone claims "they stole my voice"

Good thing we have science and don't have rely on the opinions of some redditors.

So the better question would be, what are you guys hearing that you call those voices similar, when objective metrics don't support that notion? The way they talk? With the giggles and stuff?

Well thank god the way someone talks isn't protected by copyright, and I hope you guys aren't really advocating that it should, that would be terrible.

Also what does ScarJo have to do with the way Samantha talks? She didn't invent Samantha. If anything at all that's Spike Jonze's intellectual property or the studio's.

FieldValue
text It's pretty easy honestly... In forensic voice analysis there are four properties you analyze. Spectographic (you load both voices up in a audio editor and compare how similar the freq spectrum looks like), formant analysis (you compare the formants in one's voice), pitch (the fundamental pitch of a voice) and temporal analysis (rhythm, speed of the voice) You can do it yourself with for example Praat: https://www.fon.hum.uva.nl/praat/ And the two voices we're talking about aren't similar in a…
label r/chatgpt
dataType comment
communityName r/ChatGPT
datetime 2024-05-23
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  "text": "It's pretty easy honestly... In forensic voice analysis there are four properties you analyze. Spectographic (you load both voices up in a audio editor and compare how similar the freq spectrum looks like), formant analysis (you compare the formants in one's voice), pitch (the fundamental pitch of a voice) and temporal analysis (rhythm, speed of the voice)\n\nYou can do it yourself with for example Praat:\nhttps://www.fon.hum.uva.nl/praat/\n\nAnd the two voices we're talking about aren't similar in any of those properties. I would also bet 5 reddit bucks that OpenAi also did a forensic analysis comparing their voices with the voices of famous actors just to be safe in case anyone claims \"they stole my voice\"\n\nGood thing we have science and don't have rely on the opinions of some redditors.\n\nSo the better question would be, what are you guys hearing that you call those voices similar, when objective metrics don't support that notion? The way they talk? With the giggles and stuff?\n\nWell thank god the way someone talks isn't protected by copyright, and I hope you guys aren't really advocating that it should, that would be terrible.\n\nAlso what does ScarJo have to do with the way Samantha talks? She didn't invent Samantha. If anything at all that's Spike Jonze's intellectual property or the studio's.",
  "label": "r/chatgpt",
  "dataType": "comment",
  "communityName": "r/ChatGPT",
  "datetime": "2024-05-23",
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