kaldifeat/kaldifeat/python/csrc/feature-mfcc.cc
2021-07-18 19:46:14 +08:00

55 lines
1.8 KiB
C++

// kaldifeat/python/csrc/feature-mfcc.cc
//
// Copyright (c) 2021 Xiaomi Corporation (authors: Fangjun Kuang)
#include "kaldifeat/python/csrc/feature-mfcc.h"
#include <string>
#include "kaldifeat/csrc/feature-mfcc.h"
namespace kaldifeat {
void PybindMfccOptions(py::module &m) {
using PyClass = MfccOptions;
py::class_<PyClass>(m, "MfccOptions")
.def(py::init<>())
.def_readwrite("frame_opts", &PyClass::frame_opts)
.def_readwrite("mel_opts", &PyClass::mel_opts)
.def_readwrite("num_ceps", &PyClass::num_ceps)
.def_readwrite("use_energy", &PyClass::use_energy)
.def_readwrite("energy_floor", &PyClass::energy_floor)
.def_readwrite("raw_energy", &PyClass::raw_energy)
.def_readwrite("cepstral_lifter", &PyClass::cepstral_lifter)
.def_readwrite("htk_compat", &PyClass::htk_compat)
.def_property(
"device",
[](const PyClass &self) -> py::object {
py::object ans = py::module_::import("torch").attr("device");
return ans(self.device.str());
},
[](PyClass &self, py::object obj) -> void {
std::string s = static_cast<py::str>(obj);
self.device = torch::Device(s);
})
.def("__str__",
[](const PyClass &self) -> std::string { return self.ToString(); });
}
static void PybindMfcc(py::module &m) {
using PyClass = Mfcc;
py::class_<PyClass>(m, "Mfcc")
.def(py::init<const MfccOptions &>(), py::arg("opts"))
.def("dim", &PyClass::Dim)
.def_property_readonly("options", &PyClass::GetOptions)
.def("compute_features", &PyClass::ComputeFeatures, py::arg("wave"),
py::arg("vtln_warp"));
}
void PybindFeatureMfcc(py::module &m) {
PybindMfccOptions(m);
PybindMfcc(m);
}
} // namespace kaldifeat