Kaldi recipes that are supported

[adamchant]

Hey guys, I'm kinda new to kaldi. I have implemented the basic tri phone stages for librispeech and also trained the dnn stage using steps/train_nnet.sh script on fmmlr features, but when i try to run the gui demo script, i get an error log as follows, after replacing the models directory.
./gui-demo.py:14: PyGIWarning: Gtk was imported without specifying a version first. Use gi.require_version('Gtk', '3.0') before import to ensure that the right version gets loaded.
from gi.repository import GObject, Gst, Gtk, Gdk
ERROR ([5.5.684~1-03ae8]:ExpectToken():io-funcs.cc:200) Failed to read token [started at file position 333231], expected

[ Stack-Trace: ]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-base.so(kaldi::MessageLogger::LogMessage() const+0xb42) [0x7f71b02f26b2]
../src/libgstkaldinnet2onlinedecoder.so(kaldi::MessageLogger::LogAndThrow::operator=(kaldi::MessageLogger const&)+0x21) [0x7f71b26bbedb]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-base.so(kaldi::ExpectToken(std::istream&, bool, char const*)+0x17f) [0x7f71b02f4315]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-nnet2.so(kaldi::nnet2::Nnet::Read(std::istream&, bool)+0x3e) [0x7f71abd0bf24]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-nnet2.so(kaldi::nnet2::AmNnet::Read(std::istream&, bool)+0x14) [0x7f71abd19752]
../src/libgstkaldinnet2onlinedecoder.so(+0x6866e) [0x7f71b26af66e]
/usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0(g_object_setv+0x23e) [0x7f71d7333bae]
/usr/lib/x86_64-linux-gnu/libgobject-2.0.so.0(g_object_set_property+0x1e) [0x7f71d7334b3e]
/usr/lib/python2.7/dist-packages/gi/_gi.x86_64-linux-gnu.so(+0x168b2) [0x7f71d77ba8b2]
/usr/lib/python2.7/dist-packages/gi/_gi.x86_64-linux-gnu.so(+0x16cab) [0x7f71d77bacab]
python(PyEval_EvalFrameEx+0x54a) [0x55d5e5a5bbba]
python(PyEval_EvalFrameEx+0x52b6) [0x55d5e5a60926]
python(PyEval_EvalCodeEx+0x58a) [0x55d5e5a592aa]
python(+0x10df29) [0x55d5e5a74f29]
python(+0x12670e) [0x55d5e5a8d70e]
python(+0x12633a) [0x55d5e5a8d33a]
python(+0xe30ab) [0x55d5e5a4a0ab]
python(PyEval_EvalFrameEx+0x54b0) [0x55d5e5a60b20]
python(PyEval_EvalCodeEx+0x58a) [0x55d5e5a592aa]
python(PyEval_EvalCode+0x19) [0x55d5e5a58d19]
python(+0x12294f) [0x55d5e5a8994f]
python(PyRun_FileExFlags+0x82) [0x55d5e5a84be2]
python(PyRun_SimpleFileExFlags+0x18d) [0x55d5e5a8460d]
python(Py_Main+0x616) [0x55d5e5a33356]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xe7) [0x7f71d8fc2b97]
python(_start+0x2a) [0x55d5e5a32c4a]

LOG ([5.5.6841-03ae8]:ComputeDerivedVars():ivector-extractor.cc:183) Computing derived variables for iVector extractor
LOG ([5.5.6841-03ae8]:ComputeDerivedVars():ivector-extractor.cc:204) Done.
ASSERTION_FAILED ([5.5.684~1-03ae8]:LeftContext():nnet-nnet.cc:43) Assertion failed: (!components_.empty())

[ Stack-Trace: ]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-base.so(kaldi::MessageLogger::LogMessage() const+0xb42) [0x7f71b02f26b2]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-base.so(kaldi::KaldiAssertFailure_(char const*, char const*, int, char const*)+0x6e) [0x7f71b02f33ae]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-nnet2.so(kaldi::nnet2::Nnet::LeftContext() const+0x5d) [0x7f71abd099ad]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-nnet2.so(kaldi::nnet2::DecodableNnet2Online::DecodableNnet2Online(kaldi::nnet2::AmNnet const&, kaldi::TransitionModel const&, kaldi::nnet2::DecodableNnet2OnlineOptions const&, kaldi::OnlineFeatureInterface*)+0x57) [0x7f71abdb96f1]
/home/dev/asr_toolkits/kaldi/src/lib/libkaldi-online2.so(kaldi::SingleUtteranceNnet2Decoder::SingleUtteranceNnet2Decoder(kaldi::OnlineNnet2DecodingConfig const&, kaldi::TransitionModel const&, kaldi::nnet2::AmNnet const&, fst::Fst<fst::ArcTpl<fst::TropicalWeightTpl > > const&, kaldi::OnlineFeatureInterface*)+0x6b) [0x7f71b1e07203]
../src/libgstkaldinnet2onlinedecoder.so(+0x6e4b0) [0x7f71b26b54b0]
../src/libgstkaldinnet2onlinedecoder.so(+0x6f91c) [0x7f71b26b691c]
/usr/lib/x86_64-linux-gnu/libgstreamer-1.0.so.0(+0xab269) [0x7f71cd802269]
/usr/lib/x86_64-linux-gnu/libglib-2.0.so.0(+0x74b40) [0x7f71d7079b40]
/usr/lib/x86_64-linux-gnu/libglib-2.0.so.0(+0x74175) [0x7f71d7079175]
/lib/x86_64-linux-gnu/libpthread.so.0(+0x76db) [0x7f71d8d896db]
/lib/x86_64-linux-gnu/libc.so.6(clone+0x3f) [0x7f71d90c288f]

Aborted (core dumped)
Kindly help me understand and debug this log (i am a beginer with kaldi as well), as im unable to understand whats going on or make sense of it....
I get this is not the ivector based dnn am, do i have to run the tdnn scripts in local/nnet3 folder, is there any way I can use the dnn model along with this tool kit...?
Thanks