We use Kaldi decoder to implement TLG based language model integration, so we copied related files to this directory. The main changes are:
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To minimize the change, we use the same directories tree as Kaldi.
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We replace Kaldi log system with glog in the following way.
#define KALDI_WARN \
google::LogMessage(__FILE__, __LINE__, google::GLOG_WARNING).stream()
#define KALDI_ERR \
google::LogMessage(__FILE__, __LINE__, google::GLOG_ERROR).stream()
#define KALDI_INFO \
google::LogMessage(__FILE__, __LINE__, google::GLOG_INFO).stream()
#define KALDI_VLOG(v) VLOG(v)
#define KALDI_ASSERT(condition) CHECK(condition)
- We lint all the files to satisfy the lint in WeNet.