Begin to support CTC models (#119)

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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@@ -5,6 +5,7 @@ pybind11_add_module(_sherpa_onnx
endpoint.cc
features.cc
offline-model-config.cc
offline-nemo-enc-dec-ctc-model-config.cc
offline-paraformer-model-config.cc
offline-recognizer.cc
offline-stream.cc

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@@ -7,26 +7,31 @@
#include <string>
#include <vector>
#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include "sherpa-onnx/csrc/offline-model-config.h"
#include "sherpa-onnx/python/csrc/offline-nemo-enc-dec-ctc-model-config.h"
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
namespace sherpa_onnx {
void PybindOfflineModelConfig(py::module *m) {
PybindOfflineTransducerModelConfig(m);
PybindOfflineParaformerModelConfig(m);
PybindOfflineNemoEncDecCtcModelConfig(m);
using PyClass = OfflineModelConfig;
py::class_<PyClass>(*m, "OfflineModelConfig")
.def(py::init<OfflineTransducerModelConfig &,
OfflineParaformerModelConfig &,
const std::string &, int32_t, bool>(),
py::arg("transducer"), py::arg("paraformer"), py::arg("tokens"),
py::arg("num_threads"), py::arg("debug") = false)
.def(py::init<const OfflineTransducerModelConfig &,
const OfflineParaformerModelConfig &,
const OfflineNemoEncDecCtcModelConfig &,
const std::string &, int32_t, bool>(),
py::arg("transducer") = OfflineTransducerModelConfig(),
py::arg("paraformer") = OfflineParaformerModelConfig(),
py::arg("nemo_ctc") = OfflineNemoEncDecCtcModelConfig(),
py::arg("tokens"), py::arg("num_threads"), py::arg("debug") = false)
.def_readwrite("transducer", &PyClass::transducer)
.def_readwrite("paraformer", &PyClass::paraformer)
.def_readwrite("nemo_ctc", &PyClass::nemo_ctc)
.def_readwrite("tokens", &PyClass::tokens)
.def_readwrite("num_threads", &PyClass::num_threads)
.def_readwrite("debug", &PyClass::debug)

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@@ -0,0 +1,22 @@
// sherpa-onnx/python/csrc/offline-nemo-enc-dec-ctc-model-config.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/python/csrc/offline-nemo-enc-dec-ctc-model-config.h"
#include <string>
#include <vector>
#include "sherpa-onnx/csrc/offline-nemo-enc-dec-ctc-model-config.h"
namespace sherpa_onnx {
void PybindOfflineNemoEncDecCtcModelConfig(py::module *m) {
using PyClass = OfflineNemoEncDecCtcModelConfig;
py::class_<PyClass>(*m, "OfflineNemoEncDecCtcModelConfig")
.def(py::init<const std::string &>(), py::arg("model"))
.def_readwrite("model", &PyClass::model)
.def("__str__", &PyClass::ToString);
}
} // namespace sherpa_onnx

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@@ -0,0 +1,16 @@
// sherpa-onnx/python/csrc/offline-nemo-enc-dec-ctc-model-config.h
//
// Copyright (c) 2023 Xiaomi Corporation
#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_NEMO_ENC_DEC_CTC_MODEL_CONFIG_H_
#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_NEMO_ENC_DEC_CTC_MODEL_CONFIG_H_
#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
namespace sherpa_onnx {
void PybindOfflineNemoEncDecCtcModelConfig(py::module *m);
}
#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_NEMO_ENC_DEC_CTC_MODEL_CONFIG_H_

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@@ -4,7 +4,6 @@
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include <string>
#include <vector>
@@ -15,8 +14,7 @@ namespace sherpa_onnx {
void PybindOfflineParaformerModelConfig(py::module *m) {
using PyClass = OfflineParaformerModelConfig;
py::class_<PyClass>(*m, "OfflineParaformerModelConfig")
.def(py::init<const std::string &>(),
py::arg("model"))
.def(py::init<const std::string &>(), py::arg("model"))
.def_readwrite("model", &PyClass::model)
.def("__str__", &PyClass::ToString);
}

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@@ -11,8 +11,6 @@
namespace sherpa_onnx {
static void PybindOfflineRecognizerConfig(py::module *m) {
using PyClass = OfflineRecognizerConfig;
py::class_<PyClass>(*m, "OfflineRecognizerConfig")

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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

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@@ -7,16 +7,13 @@
#include "sherpa-onnx/python/csrc/display.h"
#include "sherpa-onnx/python/csrc/endpoint.h"
#include "sherpa-onnx/python/csrc/features.h"
#include "sherpa-onnx/python/csrc/offline-model-config.h"
#include "sherpa-onnx/python/csrc/offline-recognizer.h"
#include "sherpa-onnx/python/csrc/offline-stream.h"
#include "sherpa-onnx/python/csrc/online-recognizer.h"
#include "sherpa-onnx/python/csrc/online-stream.h"
#include "sherpa-onnx/python/csrc/online-transducer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-model-config.h"
#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
#include "sherpa-onnx/python/csrc/offline-recognizer.h"
#include "sherpa-onnx/python/csrc/offline-stream.h"
#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
namespace sherpa_onnx {
PYBIND11_MODULE(_sherpa_onnx, m) {