Tim Chase wrote:
do u know which one
1. cmu sphinx
2. natural speaking
3. windows sapi
is best ( in accuray and speed ) for predefined vocabulary.. and
worth for
learning as well.?
For a pre-defined vocabulary, they should all be pretty good. In
general (for non-predefined vocabularies), I've heard that NS beats
both Sphinx and SAPI in terms of recognition quality.
+1
I haven't seen any comparisons between Sphinx and SAPI.
Other considerations may also come into play:
- do you expect all your users to have a copy of NS? Then you might
have to look into something other than NS if they won't. Or perhaps NS
has a developers' toolkit that allows for redistribution when built
into your app.
- do you expect all your users to run Windows (as I type this from my
Linux box...)? If not, then SAPI won't be available to your
Mac/Linux/BSD/BeOS/Amiga/whatever users.
- do you need TTS (text-to-speech) capabilities as well? SAPI
includes them. (there are other TTS libraries available such as
mbrola/festival that are available for this if needed)
- how easy is it to bind to Python? Sphinx has Python bindings
detailed on the website. I can't speak for NS or SAPI.
both are covered by DragonFly
Stef
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