On 30 June 2010 16:43, silner <silnerwil...@gmail.com> wrote:
> On Tue, 29 Jun 2010 22:31:32 +0100, Roy Jamison wrote:
>
>> I have found Dragon NS to be quite surprisingly accurate after 10-15
>> minutes of training, so I don't think the perfect model is too far away,
>> at least for closed-source payware.
>
> Someone told me, a while a go I must admit, that Dragon NS worked well
> for women and men with high voices, but not nearly so well with deep
> voices. I was told it was so bad as to be unusable for deep voiced users?

I wrote a whole series of reviews for PC Magazine UK in the late 1990s
using IBM ViaVoice, after lacerating the palm of my right hand in a
nasty washing-up accident. It worked amazingly well - with training it
could distinguish between "a gateway on the network" and "a Gateway
PC" just from the slight emphasis on the proper noun. I /do/ have a
pretty deep, booming voice, too.

It's not true, I think. Sounds like FUD to me.

Speech recognition was working well a decade ago, on for-the-time poxy
hardware. It needs training, though, and it does have a small error
rate - 2-3%. This is enough to be irritating if you can type
reasonably well.

What we /don't/ yet have is speaker-independent continuous speech
recognition, i.e., without training. That's hard.

But speaker-dependent stuff, if you take the time to train it, is fine.

It's just that typing is quicker.

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