simon

speech model basically consists of two parts:

Language model: Describes all existing words and what sentences are grammatically correct. It will be created from your active scenario

Acoustic model: Describes how words sound. It will be either built solely through your voice recordings (training) or with the help of a base model

SPHINX backend“ uses:

PocketSphinx recognizer

SphinxTrain model generation backend

install

sudo apt install simon sudo apt install libsphinxbase3 python-sphinxbase sphinxbase-utils pocketsphinx

edit

$CFG_CD_TRAIN = 'no';

model

For small amount of data for training without context-dependent models use continuous model instead of semi-continuous one and this error will be solved.

This warning is caused by the fact you disabled context-dependent training and used semi-continuous model. You can ignore this error until you have more data and use context-dependent training.

training

mkdir /tmp/test cd /tmp/test sphinxtrain -t test setup

now we have

. └── etc │ ├── feat.params │ ├── sphinx_train.cfg │ ├── test.dic │ └── test.filler

adjust sphinx_train.cfg TODO