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Add C++ support for streaming NeMo CTC models. (#857)

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This commit is contained in:
Fangjun Kuang
2024-05-10 16:26:43 +08:00
committed by GitHub
parent 1eb60e8711
commit 46e4e5b7ac
22 changed files with 782 additions and 41 deletions
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30
sherpa-onnx/python/csrc/online-recognizer.cc
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@@ -42,6 +42,8 @@ static void PybindOnlineRecognizerResult(py::module *m) {
"segment", [](PyClass &self) -> int32_t { return self.segment; })
.def_property_readonly(
"is_final", [](PyClass &self) -> bool { return self.is_final; })
.def("__str__", &PyClass::AsJsonString,
py::call_guard<py::gil_scoped_release>())
.def("as_json_string", &PyClass::AsJsonString,
py::call_guard<py::gil_scoped_release>());
}
@@ -50,29 +52,17 @@ static void PybindOnlineRecognizerConfig(py::module *m) {
using PyClass = OnlineRecognizerConfig;
py::class_<PyClass>(*m, "OnlineRecognizerConfig")
.def(
py::init<const FeatureExtractorConfig &,
const OnlineModelConfig &,
const OnlineLMConfig &,
const EndpointConfig &,
const OnlineCtcFstDecoderConfig &,
bool,
const std::string &,
int32_t,
const std::string &,
float,
float,
float>(),
py::arg("feat_config"),
py::arg("model_config"),
py::init<const FeatureExtractorConfig &, const OnlineModelConfig &,
const OnlineLMConfig &, const EndpointConfig &,
const OnlineCtcFstDecoderConfig &, bool, const std::string &,
int32_t, const std::string &, float, float, float>(),
py::arg("feat_config"), py::arg("model_config"),
py::arg("lm_config") = OnlineLMConfig(),
py::arg("endpoint_config") = EndpointConfig(),
py::arg("ctc_fst_decoder_config") = OnlineCtcFstDecoderConfig(),
py::arg("enable_endpoint"),
py::arg("decoding_method"),
py::arg("max_active_paths") = 4,
py::arg("hotwords_file") = "",
py::arg("hotwords_score") = 0,
py::arg("blank_penalty") = 0.0,
py::arg("enable_endpoint"), py::arg("decoding_method"),
py::arg("max_active_paths") = 4, py::arg("hotwords_file") = "",
py::arg("hotwords_score") = 0, py::arg("blank_penalty") = 0.0,
py::arg("temperature_scale") = 2.0)
.def_readwrite("feat_config", &PyClass::feat_config)
.def_readwrite("model_config", &PyClass::model_config)