Segmentation Fault with recognize.py with pre-trained model

[sanzgiri]

I am running the pre-trained model in a docker container. After doing the speech-to-text conversion and printing the output, the code always dumps core.

python recognize.py --file xxx.wav

W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX512F instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.

speech to text conversion shows up here

Segmentation fault (core dumped)

[atanumandal0491]

You are getting output of only these?? "Segmentation fault (core dumped)". If yes I suggest to use the method for recognize https://github.com/EN10/Speech-to-Text-WaveNet this link. Have you trained or use pre-trained?

[licia-tia]

😢 Same problem here. Is there any new information?