wangers
commented
1 year ago It seems error occurs when compute ivector, this is related to kaldi. first make sure your kaldi is successfully installed, then check the plda shell scripts, maybe there is some configuration should be set to your data.
Hello, when I replaced the TDNN model with resnet-xvector.py in your model for Transfer learning, the following errors occurred during scoring. All but the loss layer were migrated. I hope to get your answer. Looking forward to your reply.Thank you.
ERROR (ivector-compute-plda[5.5]:Cholesky():tp-matrix.cc:110) Cholesky decomposition failed. Maybe matrix is not positive definite.
[ Stack-Trace: ] /home/yqc/kaldi-master/src/lib/libkaldi-base.so(kaldi::MessageLogger::LogMessage() const+0xb42) [0x7f68e936c732] ivector-compute-plda(kaldi::MessageLogger::LogAndThrow::operator=(kaldi::MessageLogger const&)+0x21) [0x564450bdc4e9] /home/yqc/kaldi-master/src/lib/libkaldi-matrix.so(kaldi::TpMatrix::Cholesky(kaldi::SpMatrix const&)+0x1b1) [0x7f68e95d73d1]
/home/yqc/kaldi-master/src/lib/libkaldi-ivector.so(+0x1b99a) [0x7f68e9a7399a]
/home/yqc/kaldi-master/src/lib/libkaldi-ivector.so(kaldi::PldaEstimator::GetOutput(kaldi::Plda)+0x1c6) [0x7f68e9a75e00]
/home/yqc/kaldi-master/src/lib/libkaldi-ivector.so(kaldi::PldaEstimator::Estimate(kaldi::PldaEstimationConfig const&, kaldi::Plda)+0x195) [0x7f68e9a76617]
ivector-compute-plda(main+0xd13) [0x564450bdb86d]
/lib/x86_64-linux-gnu/libc.so.6(__libc_start_main+0xe7) [0x7f68e894bc87]
ivector-compute-plda(_start+0x2a) [0x564450bdaa7a]
kaldi::KaldiFatalError(subtools)