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I have a question for AI/NLP experts (and I might use the wrong terms). When our voices are processed in systems like these are the results compared to a corpu
by odammit 9y ago
I have a question for AI/NLP experts (and I might use the wrong terms).
When our voices are processed in systems like these are the results compared to a corpus of our own speech, a local (geo) population, or language speakers as a whole?
I’ve been curious how slang and people with poor grammar affect results of other users. Will we start seeing “thicc” instead of “thick” and “dat” instead of “that” over time?
One of the reasons I’ve been pondering this (anecdote alert) is that I frequently see iOS dictation spelling bizarrely.
- Zalastax 9y agoThe dictionary in keyboard apps is often crowd sourced, especially sentence predictions. Your own common phrases are made more significant as well. I would assume speech to text systems would do the same. Coherent sentences is very important for the recognition algorithms, and you can often see word corrections happening live as you complete your sentence.
- acjohnson55 9y agoIt would be interesting if correlation of vocabulary were used. It could effectively optimize suggestions based on inferred dialect influences.
- odammit 9y agoThat’s interesting. I mean it drives me nuts sometimes but it’s also the natural progression of spoken language right?