EngineX-Iluvatar/enginex-mr_series-sherpa-onnx
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Begin to support CTC models (#119)

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Please see https://k2-fsa.github.io/sherpa/onnx/pretrained_models/offline-ctc/nemo/index.html for a list of pre-trained CTC models from NeMo.
This commit is contained in:
Fangjun Kuang
2023-04-07 23:11:34 +08:00
committed by GitHub
parent 9ac747248b
commit 80060c276d
40 changed files with 1244 additions and 60 deletions
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4
sherpa-onnx/python/csrc/offline-stream.cc
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@@ -31,7 +31,6 @@ static void PybindOfflineRecognitionResult(py::module *m) { // NOLINT
"timestamps", [](const PyClass &self) { return self.timestamps; });
}
static void PybindOfflineFeatureExtractorConfig(py::module *m) {
using PyClass = OfflineFeatureExtractorConfig;
py::class_<PyClass>(*m, "OfflineFeatureExtractorConfig")
@@ -42,7 +41,6 @@ static void PybindOfflineFeatureExtractorConfig(py::module *m) {
.def("__str__", &PyClass::ToString);
}
void PybindOfflineStream(py::module *m) {
PybindOfflineFeatureExtractorConfig(m);
PybindOfflineRecognitionResult(m);
@@ -55,7 +53,7 @@ void PybindOfflineStream(py::module *m) {
self.AcceptWaveform(sample_rate, waveform.data(), waveform.size());
},
py::arg("sample_rate"), py::arg("waveform"), kAcceptWaveformUsage)
.def_property_readonly("result", &PyClass::GetResult);
.def_property_readonly("result", &PyClass::GetResult);
}
} // namespace sherpa_onnx