streaming-zipformer-cxx-api.cc
3.1 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
// cxx-api-examples/streaming-zipformer-cxx-api.cc
// Copyright (c) 2024 Xiaomi Corporation
//
// This file demonstrates how to use streaming Zipformer
// with sherpa-onnx's C++ API.
//
// clang-format off
//
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
// tar xvf sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
// rm sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20.tar.bz2
//
// clang-format on
#include <chrono> // NOLINT
#include <iostream>
#include <string>
#include "sherpa-onnx/c-api/cxx-api.h"
int32_t main() {
using namespace sherpa_onnx::cxx;
OnlineRecognizerConfig config;
// please see
// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/online-transducer/zipformer-transducer-models.html#csukuangfj-sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20-bilingual-chinese-english
config.model_config.transducer.encoder =
"./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
"encoder-epoch-99-avg-1.int8.onnx";
// Note: We recommend not using int8.onnx for the decoder.
config.model_config.transducer.decoder =
"./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
"decoder-epoch-99-avg-1.onnx";
config.model_config.transducer.joiner =
"./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/"
"joiner-epoch-99-avg-1.int8.onnx";
config.model_config.tokens =
"./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/tokens.txt";
config.model_config.num_threads = 1;
std::cout << "Loading model\n";
OnlineRecognizer recongizer = OnlineRecognizer::Create(config);
if (!recongizer.Get()) {
std::cerr << "Please check your config\n";
return -1;
}
std::cout << "Loading model done\n";
std::string wave_filename =
"./sherpa-onnx-streaming-zipformer-bilingual-zh-en-2023-02-20/test_wavs/"
"0.wav";
Wave wave = ReadWave(wave_filename);
if (wave.samples.empty()) {
std::cerr << "Failed to read: '" << wave_filename << "'\n";
return -1;
}
std::cout << "Start recognition\n";
const auto begin = std::chrono::steady_clock::now();
OnlineStream stream = recongizer.CreateStream();
stream.AcceptWaveform(wave.sample_rate, wave.samples.data(),
wave.samples.size());
stream.InputFinished();
while (recongizer.IsReady(&stream)) {
recongizer.Decode(&stream);
}
OnlineRecognizerResult result = recongizer.GetResult(&stream);
const auto end = std::chrono::steady_clock::now();
const float elapsed_seconds =
std::chrono::duration_cast<std::chrono::milliseconds>(end - begin)
.count() /
1000.;
float duration = wave.samples.size() / static_cast<float>(wave.sample_rate);
float rtf = elapsed_seconds / duration;
std::cout << "text: " << result.text << "\n";
printf("Number of threads: %d\n", config.model_config.num_threads);
printf("Duration: %.3fs\n", duration);
printf("Elapsed seconds: %.3fs\n", elapsed_seconds);
printf("(Real time factor) RTF = %.3f / %.3f = %.3f\n", elapsed_seconds,
duration, rtf);
return 0;
}