DeepSpeech-Polyglot：Signals.SIGSEGV：11

Question

我正在尝试生成 DeepSpeech-Polyglot-Project 的记分器。我已遵循文档的每一步，但是当我运行时：

python3 /DeepSpeech/data/lm/generate_lm.py --input_txt /DeepSpeech/data_prepared/texts/${LANGUAGE}/clean_vocab.txt --output_dir /DeepSpeech/data_prepared/texts/${LANGUAGE}/ --top_k 500000 --kenlm_bins /DeepSpeech/native_client/kenlm/build/bin/ --arpa_order 5 --max_arpa_memory "85%" --arpa_prune "0|0|1" --binary_a_bits 255 --binary_q_bits 8 --binary_type trie --discount_fallback

我收到以下错误：

Saving top 500000 words ...

Calculating word statistics ...
  Your text file has 202185630 words in total
  It has 2106729 unique words
  Your top-500000 words are 98.7433 percent of all words
  Your most common word "die" occurred 7853080 times
  The least common word in your top-k is "adamantium" with 5 times
  The first word with 6 occurrences is "begibst" at place 448270

Creating ARPA file ...
=== 1/5 Counting and sorting n-grams ===
Reading /DeepSpeech/data_prepared/texts/de/lower.txt.gz
----5---10---15---20---25---30---35---40---45---50---55---60---65---70---75---80---85---90---95--100
Traceback (most recent call last):
  File "/DeepSpeech/data/lm/generate_lm.py", line 210, in <module>
    main()
  File "/DeepSpeech/data/lm/generate_lm.py", line 201, in main
    build_lm(args, data_lower, vocab_str)
  File "/DeepSpeech/data/lm/generate_lm.py", line 97, in build_lm
    subprocess.check_call(subargs)
  File "/usr/lib/python3.6/subprocess.py", line 311, in check_call
    raise CalledProcessError(retcode, cmd)
subprocess.CalledProcessError: Command '['/DeepSpeech/native_client/kenlm/build/bin/lmplz', '--order', '5', '--temp_prefix', '/DeepSpeech/data_prepared/texts/de/', '--memory', '85%', '--text', '/DeepSpeech/data_prepared/texts/de/lower.txt.gz', '--arpa', '/DeepSpeech/data_prepared/texts/de/lm.arpa', '--prune', '0', '0', '1', '--discount_fallback']' died with <Signals.SIGSEGV: 11>.

我正在使用此文档：https://gitlab.com/Jaco-Assistant/deepspeech-polyglot

感谢每一个提示。

Answer 1

这已经在DeepSpeech's Discourse.讨论过

基本上你的 KenLM 没有正确安装。只在谷歌上搜索错误，你会发现你必须重新安装并检查你的环境。