first i have created a acoustic model with 20 wav files. it given 40-50%
accuracy(used first 20 words from CMU ARCTIC text-to-speech databases).
then i have created a acoustic model with 200 .wav files. it given 55 -60 %
accuracy
then i have created a acoustic model with 400.wav files. it given 70-75 %
accuracy.
will acoustic model accuracy is related to the number of files(.wav) we
trained?
if yes, what is the maximum .wav files count for acoustic model training?
Let me know...
Thanks..
If you would like to refer to this comment somewhere else in this project, copy and paste the following link:
Hi All,
Let me clarify one thing,
I am creating acoustic model using the link http://cmusphinx.sourceforge.net/
wiki/tutorialadapt
first i have created a acoustic model with 20 wav files. it given 40-50%
accuracy(used first 20 words from CMU ARCTIC text-to-speech databases).
then i have created a acoustic model with 200 .wav files. it given 55 -60 %
accuracy
then i have created a acoustic model with 400.wav files. it given 70-75 %
accuracy.
will acoustic model accuracy is related to the number of files(.wav) we
trained?
if yes, what is the maximum .wav files count for acoustic model training?
Let me know...
Thanks..
There is no maximum. Good acoustic models use about 10 millions.