Hello,
I am trying to recognize some German speech using the following language model "cmusphinx-ptm-generic-de-r20180609" but the accuracy is about 35% which is too low.
I am recording a .wav file by a native german speaker using the following command :
rec -V1 -q -r 16000 -c 1 -b 16 -e signed-integer --endian little "test1.wav"
and then run the following command
Hello,
I am trying to recognize some German speech using the following language model "cmusphinx-ptm-generic-de-r20180609" but the accuracy is about 35% which is too low.
I am recording a .wav file by a native german speaker using the following command :
rec -V1 -q -r 16000 -c 1 -b 16 -e signed-integer --endian little "test1.wav"
and then run the following command
pocketsphinx_batch -adcin yes -cepdir wav -cepext .wav -ctl test.fileids -lm "file.lm" -dict "file.dic" -hmm "acoustic_model_directory" -hyp test.hyp
word_align.pl test.transcription test.hyp
Is there something wrong becauause I think it's not normal to get such low accuracy using the provided models?
And here's the used data for testing and the log file
Answered at http://www.voxforge.org/home/forums/other-languages/german/low-recognition-accuracy-using-pocketsphinx/1