Training Error when run tedlium recipe about eesen

[fmetze]

The error is probably caused by an inconsistency between your conf/*.proto file and the actual model. It seems that the prototype file has been generated with a prototype in the librispeech recipe (or https://github.com/jb1999/eesen), while the actual code is srvk's Eesen?

Eesen's standard acoustic model does not contain the ForwardDropFactor, but jb1999's Eesen does.

[yuexianghubit]

I installed srvk's Eesen, not jb1999's Eesen.
Today i tried the librispeech recipe, the acoutsic model training process can run normally, the nnet proto is below:
<Nnet>
<BiLstmParallel> <InputDim> 360 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0 <ForwardDropoutFactor> 0.2 <ForwardSequenceDropout> T <RecurrentDropoutFactor> 0.2 <RecurrentSequenceDropout> T <NoMemLossDropout> T <TwiddleForward> T
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0 <ForwardDropoutFactor> 0.2 <ForwardSequenceDropout> T <RecurrentDropoutFactor> 0.2 <RecurrentSequenceDropout> T <NoMemLossDropout> T <TwiddleForward> T
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0 <ForwardDropoutFactor> 0.2 <ForwardSequenceDropout> T <RecurrentDropoutFactor> 0.2 <RecurrentSequenceDropout> T <NoMemLossDropout> T <TwiddleForward> T
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0 <ForwardDropoutFactor> 0.2 <ForwardSequenceDropout> T <RecurrentDropoutFactor> 0.2 <RecurrentSequenceDropout> T <NoMemLossDropout> T <TwiddleForward> T
<AffineTransform> <InputDim> 640 <OutputDim> 44 <ParamRange> 0.1
<Softmax> <InputDim> 44 <OutputDim> 44
</Nnet>

but when i ran the tedlium recipe , the acoustic model training got the error i sent before. And the nnet proto now is:
<Nnet>
<BiLstmParallel> <InputDim> 120 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0
<BiLstmParallel> <InputDim> 640 <CellDim> 640 <ParamRange> 0.1 <LearnRateCoef> 1.0 <MaxGrad> 50.0 <FgateBias> 1.0
<AffineTransform> <InputDim> 640 <OutputDim> 78 <ParamRange> 0.1
<Softmax> <InputDim> 78 <OutputDim> 78
</Nnet>