2 ms·

> Using the frequency analysis, DFT, etc. is the way to approach it. Indeed. I meant to say there is no shortcut that immediately makes speech recognition easy

by chime 17y ago

> Using the frequency analysis, DFT, etc. is the way to approach it. Indeed. I meant to say there is no shortcut that immediately makes speech recognition easy to solve. Hence, we have to use a lot of advanced math that works pretty well but like the article says, not as well as a typical human. However, I don't think humans are that great either. The proof of that becomes evident when working on projects with people from around the world. Ask 10 people from around the world to dictate 10 different paragraphs that the other nine have to write down. I doubt they'll have the 98% accuracy that the article states, especially if there is no domain-constraint. Understanding what the other person says is hard. Put a Texan and South Indian in the same room and see what I mean. Of course, this doesn't mean it's not fun and interesting for computer scientists. It's just hard for most people to realize why the stupid automated voice-attendant can't understand they said "next" and not "six".

bootload 17y ago
"... Understanding what the other person says is hard. Put a Texan and South Indian in the same room and see what I mean. ..." RP [0] [1] is an attempt to solve this "regional dialect" problem and from that may lie a clue. [0] http://www.bbc.co.uk/dna/h2g2/classic/A657560 http://www.bbc.co.uk/dna/h2g2/classic/A657560 [1] http://en.wikipedia.org/wiki/Received_Pronunciation http://en.wikipedia.org/wiki/Received_Pronunciation
viraptor 17y ago
It works quite well if you don't have to care about the accent though. Trivia: "Automatic computer speech recognition now works well when trained to recognize a single voice, and so since 2003, the BBC does live subtitling by having someone re-speak what is being broadcast." (http://en.wikipedia.org/wiki/Closed_captioning http://en.wikipedia.org/wiki/Closed_captioning) But I'm pretty sure they started using it globally sometimes, because you can see the recognition quality fall when there's an interview with someone from outside UK.

by chime 17y ago

bootload 17y ago

"... Understanding what the other person says is hard. Put a Texan and South Indian in the same room and see what I mean. ..." RP [0] [1] is an attempt to solve this "regional dialect" problem and from that may lie a clue. [0] http://www.bbc.co.uk/dna/h2g2/classic/A657560 http://www.bbc.co.uk/dna/h2g2/classic/A657560 [1] http://en.wikipedia.org/wiki/Received_Pronunciation http://en.wikipedia.org/wiki/Received_Pronunciation

viraptor 17y ago

It works quite well if you don't have to care about the accent though. Trivia: "Automatic computer speech recognition now works well when trained to recognize a single voice, and so since 2003, the BBC does live subtitling by having someone re-speak what is being broadcast." (http://en.wikipedia.org/wiki/Closed_captioning http://en.wikipedia.org/wiki/Closed_captioning) But I'm pretty sure they started using it globally sometimes, because you can see the recognition quality fall when there's an interview with someone from outside UK.