Implement context biasing with a Aho Corasick automata (#145)

* Implement context graph

* Modify the interface to support context biasing

* Support context biasing in modified beam search; add python wrapper

* Support context biasing in python api example

* Minor fixes

* Fix context graph

* Minor fixes

* Fix tests

* Fix style

* Fix style

* Fix comments

* Minor fixes

* Add missing header

* Replace std::shared_ptr with std::unique_ptr for effciency

* Build graph in constructor

* Fix comments

* Minor fixes

* Fix docs
This commit is contained in:
Wei Kang
2023-06-16 14:26:36 +08:00
committed by GitHub
parent 1a1b9fd236
commit 8562711252
23 changed files with 515 additions and 29 deletions

View File

@@ -26,6 +26,9 @@ void OfflineRecognizerConfig::Register(ParseOptions *po) {
po->Register("max-active-paths", &max_active_paths,
"Used only when decoding_method is modified_beam_search");
po->Register("context-score", &context_score,
"The bonus score for each token in context word/phrase. "
"Used only when decoding_method is modified_beam_search");
}
bool OfflineRecognizerConfig::Validate() const {
@@ -49,7 +52,8 @@ std::string OfflineRecognizerConfig::ToString() const {
os << "model_config=" << model_config.ToString() << ", ";
os << "lm_config=" << lm_config.ToString() << ", ";
os << "decoding_method=\"" << decoding_method << "\", ";
os << "max_active_paths=" << max_active_paths << ")";
os << "max_active_paths=" << max_active_paths << ", ";
os << "context_score=" << context_score << ")";
return os.str();
}
@@ -59,6 +63,11 @@ OfflineRecognizer::OfflineRecognizer(const OfflineRecognizerConfig &config)
OfflineRecognizer::~OfflineRecognizer() = default;
std::unique_ptr<OfflineStream> OfflineRecognizer::CreateStream(
const std::vector<std::vector<int32_t>> &context_list) const {
return impl_->CreateStream(context_list);
}
std::unique_ptr<OfflineStream> OfflineRecognizer::CreateStream() const {
return impl_->CreateStream();
}