7740dbfb96
* adding ebranchformer encoder * extend surfaced FeatureExtractorConfig - so ebranchformer feature extraction can be configured from Python - the GlobCmvn is not needed, as it is a module in the OnnxEncoder * clean the code * Integrating remarks from Fangjun
35 lines
1.2 KiB
C++
35 lines
1.2 KiB
C++
// sherpa-onnx/python/csrc/features.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/python/csrc/features.h"
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#include "sherpa-onnx/csrc/features.h"
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namespace sherpa_onnx {
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static void PybindFeatureExtractorConfig(py::module *m) {
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using PyClass = FeatureExtractorConfig;
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py::class_<PyClass>(*m, "FeatureExtractorConfig")
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.def(py::init<int32_t, int32_t, float, float, float, bool, bool>(),
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py::arg("sampling_rate") = 16000,
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py::arg("feature_dim") = 80,
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py::arg("low_freq") = 20.0f,
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py::arg("high_freq") = -400.0f,
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py::arg("dither") = 0.0f,
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py::arg("normalize_samples") = true,
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py::arg("snip_edges") = false)
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.def_readwrite("sampling_rate", &PyClass::sampling_rate)
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.def_readwrite("feature_dim", &PyClass::feature_dim)
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.def_readwrite("low_freq", &PyClass::low_freq)
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.def_readwrite("high_freq", &PyClass::high_freq)
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.def_readwrite("dither", &PyClass::dither)
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.def_readwrite("normalize_samples", &PyClass::normalize_samples)
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.def_readwrite("snip_edges", &PyClass::snip_edges)
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.def("__str__", &PyClass::ToString);
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}
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void PybindFeatures(py::module *m) { PybindFeatureExtractorConfig(m); }
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} // namespace sherpa_onnx
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