D-SPEECH
WIP. speech processing (especially, speech recognition) toolkit for D
feature
- minimal
- efficient
- faster
roadmap
- dsp.feature module
- dsp.learn.acoustic module
- dsp.wfst module
structure
-
source/dsp/
- feature: speech feature (FBANK, MFCC) extraction module
- learn: machine learning module
- acoustic: acoustic model module
- hmm: hidden Markov model based sequence transducer
- gmm: Gaussian mixture model based acoustic model module
- neural: nueral network based acoustic model module
- language: language model module
- ngram: n-gram based language model module
- neural: neural network based language model module
- acoustic: acoustic model module
- wfst: weighted finite state transducer module
- container: sequence acceptor and transducer containers
- algorithm: wfst related algorithms
-
bin/
- dsp-feature: speech feature (FBANK, MFCC) extractor command