v1.2.0: Improved Recognition, Weights on Any Elements, Pluggable Alternative Dictation, Stand-alone Plain Dictation Interface, and More
Support is now included in dragonfly2 v0.20.0! You can try a self-contained distribution available below, of either stable or development versions.
Notes
- Improved Recognition: better graph construction/compilation should give significantly better overall recognition.
- Weights on Any Elements: you can now easily add weights to any element (including compound elements in
MappingRule
s), in addition to any rule/grammar. - Pluggable Alternative Dictation: you can optionally pass a
callable
asalternative_dictation
to define your own, external dictation engine. - Stand-alone Plain Dictation Interface: the library now provides a simple interface for recognizing plain dictation without fancy active grammar features.
- NOTE: the default model directory is now
kaldi_model
. - Various bug fixes & optimizations
Artifacts
kaldi_model_daanzu
: A better overall compatible general English Kaldi nnet3 chain model than below.kaldi_model_zamia_daanzu_mediumlm
: A compatible general English Kaldi nnet3 chain model, with a larger/better dictation language model than below.kaldi_model_zamia
: A compatible general English Kaldi nnet3 chain model.kaldi-dragonfly-winpython
: [stable release version] A self-contained, portable, batteries-included (python & libraries & model) distribution of kaldi-active-grammar + dragonfly2. Just unzip and run!kaldi-dragonfly-winpython-dev
: [more recent development version] A self-contained, portable, batteries-included (python & libraries & model) distribution of kaldi-active-grammar + dragonfly2. Just unzip and run!kaldi-caster-winpython-dev
: [more recent development version] A self-contained, portable, batteries-included (python & libraries & model) distribution of kaldi-active-grammar + dragonfly2 + caster. Just unzip and run!
If you have trouble downloading, try using wget --continue
.