FCPX Database to get even better

[Richard Herd]

I, me, personally, still want the roles inspector/mixer.

Regarding this…
[Mark Suszko] “all the audio translated to text”

Speaking as a recovering linguist, “That’s science fiction.” It is so friggin’ hard to do. I won’t bore anyone with an analysis, but if that’s something interesting to anyone, look up allophonic representation and then consider the alveolar tap and glottal stop as allophones and be amazed at the phonemes they represent. Consider also one more experiment: even if I literally hold my tongue and speak (destroying all the phonemes), the human listener can still parse the semantics. Whoa. A computer analyzes a wave form, but the correspondence between wave form and utterance is extremely tiny. However, I would love to talk with R2D2 and C3PO because that is some cool tech.

🙂 As Eugene Ionesco said, “Philology leads to calamity!”

[Bill Davis]

[Richard Herd] “Speaking as a recovering linguist, “That’s science fiction.” It is so friggin’ hard to do. I won’t bore anyone with an analysis, but if that’s something interesting to anyone, look up allophonic representation and then consider the alveolar tap and glottal stop as allophones and be amazed at the phonemes they represent. Consider also one more experiment: even if I literally hold my tongue and speak (destroying all the phonemes), the human listener can still parse the semantics. Whoa. A computer analyzes a wave form, but the correspondence between wave form and utterance is extremely tiny. However, I would love to talk with R2D2 and C3PO because that is some cool tech.

🙂 As Eugene Ionesco said, “Philology leads to calamity!””

Richard,

I know it makes me a total geek, but that was really fun to read.

I appreciate your taking the time to write and post it. As a long time Voiceover guy – It was oddly illuminating in an area I love to just think about.

Thank you.

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[Richard Herd]

I’m glad it wasn’t boring. And one more bit: if anyone ever wants to fool an AI listening device you can always tap the table when you speak, because the computer cannot know what sound is human speech and what is Walla-Walla. Humans can do that easy, like in crowded rooms. We can simply aim our consciousness at another human and understand what he or she is saying.

In reality, what we find is that human learning is so quick and seamless that we can adapt our speech to a computer’s input requirements much easier, like navigating a call center. It can be a funny thing to imagine a room full of people talking to their iPads. 🙂