online-recognizer.cc
4.3 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
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
// sherpa-onnx/csrc/online-recognizer.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/csrc/online-recognizer.h"
#include <assert.h>
#include <algorithm>
#include <memory>
#include <sstream>
#include <utility>
#include <vector>
#include "sherpa-onnx/csrc/online-transducer-decoder.h"
#include "sherpa-onnx/csrc/online-transducer-greedy-search-decoder.h"
#include "sherpa-onnx/csrc/online-transducer-model.h"
#include "sherpa-onnx/csrc/symbol-table.h"
namespace sherpa_onnx {
static OnlineRecognizerResult Convert(const OnlineTransducerDecoderResult &src,
const SymbolTable &sym_table) {
std::string text;
for (auto t : src.tokens) {
text += sym_table[t];
}
OnlineRecognizerResult ans;
ans.text = std::move(text);
return ans;
}
std::string OnlineRecognizerConfig::ToString() const {
std::ostringstream os;
os << "OnlineRecognizerConfig(";
os << "feat_config=" << feat_config.ToString() << ", ";
os << "model_config=" << model_config.ToString() << ", ";
os << "tokens=\"" << tokens << "\")";
return os.str();
}
class OnlineRecognizer::Impl {
public:
explicit Impl(const OnlineRecognizerConfig &config)
: config_(config),
model_(OnlineTransducerModel::Create(config.model_config)),
sym_(config.tokens) {
decoder_ =
std::make_unique<OnlineTransducerGreedySearchDecoder>(model_.get());
}
std::unique_ptr<OnlineStream> CreateStream() const {
auto stream = std::make_unique<OnlineStream>(config_.feat_config);
stream->SetResult(decoder_->GetEmptyResult());
stream->SetStates(model_->GetEncoderInitStates());
return stream;
}
bool IsReady(OnlineStream *s) const {
return s->GetNumProcessedFrames() + model_->ChunkSize() <
s->NumFramesReady();
}
void DecodeStreams(OnlineStream **ss, int32_t n) {
int32_t chunk_size = model_->ChunkSize();
int32_t chunk_shift = model_->ChunkShift();
int32_t feature_dim = ss[0]->FeatureDim();
std::vector<OnlineTransducerDecoderResult> results(n);
std::vector<float> features_vec(n * chunk_size * feature_dim);
std::vector<std::vector<Ort::Value>> states_vec(n);
for (int32_t i = 0; i != n; ++i) {
std::vector<float> features =
ss[i]->GetFrames(ss[i]->GetNumProcessedFrames(), chunk_size);
ss[i]->GetNumProcessedFrames() += chunk_shift;
std::copy(features.begin(), features.end(),
features_vec.data() + i * chunk_size * feature_dim);
results[i] = std::move(ss[i]->GetResult());
states_vec[i] = std::move(ss[i]->GetStates());
}
auto memory_info =
Ort::MemoryInfo::CreateCpu(OrtDeviceAllocator, OrtMemTypeDefault);
std::array<int64_t, 3> x_shape{n, chunk_size, feature_dim};
Ort::Value x = Ort::Value::CreateTensor(memory_info, features_vec.data(),
features_vec.size(), x_shape.data(),
x_shape.size());
auto states = model_->StackStates(states_vec);
auto pair = model_->RunEncoder(std::move(x), std::move(states));
decoder_->Decode(std::move(pair.first), &results);
std::vector<std::vector<Ort::Value>> next_states =
model_->UnStackStates(pair.second);
for (int32_t i = 0; i != n; ++i) {
ss[i]->SetResult(results[i]);
ss[i]->SetStates(std::move(next_states[i]));
}
}
OnlineRecognizerResult GetResult(OnlineStream *s) {
OnlineTransducerDecoderResult decoder_result = s->GetResult();
decoder_->StripLeadingBlanks(&decoder_result);
return Convert(decoder_result, sym_);
}
private:
OnlineRecognizerConfig config_;
std::unique_ptr<OnlineTransducerModel> model_;
std::unique_ptr<OnlineTransducerDecoder> decoder_;
SymbolTable sym_;
};
OnlineRecognizer::OnlineRecognizer(const OnlineRecognizerConfig &config)
: impl_(std::make_unique<Impl>(config)) {}
OnlineRecognizer::~OnlineRecognizer() = default;
std::unique_ptr<OnlineStream> OnlineRecognizer::CreateStream() const {
return impl_->CreateStream();
}
bool OnlineRecognizer::IsReady(OnlineStream *s) const {
return impl_->IsReady(s);
}
void OnlineRecognizer::DecodeStreams(OnlineStream **ss, int32_t n) {
impl_->DecodeStreams(ss, n);
}
OnlineRecognizerResult OnlineRecognizer::GetResult(OnlineStream *s) {
return impl_->GetResult(s);
}
} // namespace sherpa_onnx