online-recognizer-impl.cc
2.7 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
// sherpa-onnx/csrc/online-recognizer-impl.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/csrc/online-recognizer-impl.h"
#include "sherpa-onnx/csrc/online-recognizer-ctc-impl.h"
#include "sherpa-onnx/csrc/online-recognizer-paraformer-impl.h"
#include "sherpa-onnx/csrc/online-recognizer-transducer-impl.h"
#include "sherpa-onnx/csrc/online-recognizer-transducer-nemo-impl.h"
#include "sherpa-onnx/csrc/onnx-utils.h"
namespace sherpa_onnx {
std::unique_ptr<OnlineRecognizerImpl> OnlineRecognizerImpl::Create(
const OnlineRecognizerConfig &config) {
if (!config.model_config.transducer.encoder.empty()) {
Ort::Env env(ORT_LOGGING_LEVEL_WARNING);
auto decoder_model = ReadFile(config.model_config.transducer.decoder);
auto sess = std::make_unique<Ort::Session>(
env, decoder_model.data(), decoder_model.size(), Ort::SessionOptions{});
size_t node_count = sess->GetOutputCount();
if (node_count == 1) {
return std::make_unique<OnlineRecognizerTransducerImpl>(config);
} else {
return std::make_unique<OnlineRecognizerTransducerNeMoImpl>(config);
}
}
if (!config.model_config.paraformer.encoder.empty()) {
return std::make_unique<OnlineRecognizerParaformerImpl>(config);
}
if (!config.model_config.wenet_ctc.model.empty() ||
!config.model_config.zipformer2_ctc.model.empty() ||
!config.model_config.nemo_ctc.model.empty()) {
return std::make_unique<OnlineRecognizerCtcImpl>(config);
}
SHERPA_ONNX_LOGE("Please specify a model");
exit(-1);
}
#if __ANDROID_API__ >= 9
std::unique_ptr<OnlineRecognizerImpl> OnlineRecognizerImpl::Create(
AAssetManager *mgr, const OnlineRecognizerConfig &config) {
if (!config.model_config.transducer.encoder.empty()) {
Ort::Env env(ORT_LOGGING_LEVEL_WARNING);
auto decoder_model = ReadFile(mgr, config.model_config.transducer.decoder);
auto sess = std::make_unique<Ort::Session>(
env, decoder_model.data(), decoder_model.size(), Ort::SessionOptions{});
size_t node_count = sess->GetOutputCount();
if (node_count == 1) {
return std::make_unique<OnlineRecognizerTransducerImpl>(mgr, config);
} else {
return std::make_unique<OnlineRecognizerTransducerNeMoImpl>(mgr, config);
}
}
if (!config.model_config.paraformer.encoder.empty()) {
return std::make_unique<OnlineRecognizerParaformerImpl>(mgr, config);
}
if (!config.model_config.wenet_ctc.model.empty() ||
!config.model_config.zipformer2_ctc.model.empty() ||
!config.model_config.nemo_ctc.model.empty()) {
return std::make_unique<OnlineRecognizerCtcImpl>(mgr, config);
}
SHERPA_ONNX_LOGE("Please specify a model");
exit(-1);
}
#endif
} // namespace sherpa_onnx