I trained my own Mandarin acoustic model, when it finish all the stages, with decoder showing:
SENTENCE ERROR: 0.0% (0/10) WORD ERROR RATE: 0.0% (0/10).(I only trained 10 vocabulary for commanding)
It all seen good, but when I use the lm in my demo, the recognizer response nothing (empty),
do you know how to solve this problem? Thanks.
Sorry,I mean when I use the acoustic model(AM) in my demo.
Also,I just saw some guy successfully trained an AM with a small data set,I don't know how he made it,but it works perfectlly. With this,I just want to know how to increase recognization accuracy with a small amount of vocabulary .