Speaking of Performance ...
I've collected some more performance data for Sphinx-4
In particular, I've been comparing our Sphinx-4 performance against
Sphinx 3.3 (the fast, large vocabulary recongizer written in C). One
thing that is great about working on speech recognition systems is that
they are pretty easy to compare. I just have to compare the accuracy
(expressed as a word error rate - WER) and the speed expressed in terms of real time (RT). For both of these metrics, lower is better. This table - Sphinx 3.3 vs. Sphinx 4 Performance
shows how well Sphinx-4 performs compared to Sphinx 3.3 for a wide
range of vocabularies (from very small with 11 words, to very large with
60,000 words).
This table shows that for all tests except for the very large vocabulary test (hub4) we are running faster and more accurate than Sphinx 3.3. We are still working on improving the large vocabulary performance .. we are almost there.