I need a specialized model for a small vocabulary application with thai language. when I train my model with command "sphinxtrain run" in linux . I wonder why my word error rate is 100 %
My Result : result.png
*And I have 2 wav file that .
hiwnam.wav Input File : 'hiwnam.wav' Channels : 1 Sample Rate : 8000 Precision : 16-bit Duration : 00:32:29.88 = 15599072 samples ~ 146241 CDDA sectors File Size : 31.2M Bit Rate : 128k Sample Encoding: 16-bit Signed Integer PCM
========================================= puathau.wav
Input File : 'puathau.wav' Channels : 1 Sample Rate : 8000 Precision : 16-bit Duration : 00:31:16.60 = 15012832 samples ~ 140745 CDDA sectors File Size : 30.0M Bit Rate : 128k Sample Encoding: 16-bit Signed Integer PCM
Log in to post a comment.
I need a specialized model for a small vocabulary application with thai language.
when I train my model with command "sphinxtrain run" in linux .
I wonder why my word error rate is 100 %
My Result : result.png
Someone can help me improve this error rate pls.
Last edit: patcharapol 2021-08-01
*And I have 2 wav file that .
hiwnam.wav
Input File : 'hiwnam.wav'
Channels : 1
Sample Rate : 8000
Precision : 16-bit
Duration : 00:32:29.88 = 15599072 samples ~ 146241 CDDA sectors
File Size : 31.2M
Bit Rate : 128k
Sample Encoding: 16-bit Signed Integer PCM
=========================================
puathau.wav
Input File : 'puathau.wav'
Channels : 1
Sample Rate : 8000
Precision : 16-bit
Duration : 00:31:16.60 = 15012832 samples ~ 140745 CDDA sectors
File Size : 30.0M
Bit Rate : 128k
Sample Encoding: 16-bit Signed Integer PCM