122 lines
3.2 KiB
C++
122 lines
3.2 KiB
C++
// sherpa-onnx/csrc/sherpa-onnx-keyword-spotter.cc
|
|
//
|
|
// Copyright (c) 2023-2024 Xiaomi Corporation
|
|
|
|
#include <stdio.h>
|
|
|
|
#include <iomanip>
|
|
#include <iostream>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include "sherpa-onnx/csrc/keyword-spotter.h"
|
|
#include "sherpa-onnx/csrc/online-stream.h"
|
|
#include "sherpa-onnx/csrc/parse-options.h"
|
|
#include "sherpa-onnx/csrc/wave-reader.h"
|
|
|
|
typedef struct {
|
|
std::unique_ptr<sherpa_onnx::OnlineStream> online_stream;
|
|
std::string filename;
|
|
} Stream;
|
|
|
|
int main(int32_t argc, char *argv[]) {
|
|
const char *kUsageMessage = R"usage(
|
|
Usage:
|
|
|
|
(1) Streaming transducer
|
|
|
|
./bin/sherpa-onnx-keyword-spotter \
|
|
--tokens=/path/to/tokens.txt \
|
|
--encoder=/path/to/encoder.onnx \
|
|
--decoder=/path/to/decoder.onnx \
|
|
--joiner=/path/to/joiner.onnx \
|
|
--provider=cpu \
|
|
--num-threads=2 \
|
|
--keywords-file=keywords.txt \
|
|
/path/to/foo.wav [bar.wav foobar.wav ...]
|
|
|
|
Note: It supports decoding multiple files in batches
|
|
|
|
Default value for num_threads is 2.
|
|
Valid values for provider: cpu (default), cuda, coreml.
|
|
foo.wav should be of single channel, 16-bit PCM encoded wave file; its
|
|
sampling rate can be arbitrary and does not need to be 16kHz.
|
|
|
|
Please refer to
|
|
https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
|
|
for a list of pre-trained models to download.
|
|
)usage";
|
|
|
|
sherpa_onnx::ParseOptions po(kUsageMessage);
|
|
sherpa_onnx::KeywordSpotterConfig config;
|
|
|
|
config.Register(&po);
|
|
|
|
po.Read(argc, argv);
|
|
if (po.NumArgs() < 1) {
|
|
po.PrintUsage();
|
|
exit(EXIT_FAILURE);
|
|
}
|
|
|
|
fprintf(stderr, "%s\n", config.ToString().c_str());
|
|
|
|
if (!config.Validate()) {
|
|
fprintf(stderr, "Errors in config!\n");
|
|
return -1;
|
|
}
|
|
|
|
sherpa_onnx::KeywordSpotter keyword_spotter(config);
|
|
|
|
std::vector<Stream> ss;
|
|
|
|
for (int32_t i = 1; i <= po.NumArgs(); ++i) {
|
|
const std::string wav_filename = po.GetArg(i);
|
|
int32_t sampling_rate = -1;
|
|
|
|
bool is_ok = false;
|
|
const std::vector<float> samples =
|
|
sherpa_onnx::ReadWave(wav_filename, &sampling_rate, &is_ok);
|
|
|
|
if (!is_ok) {
|
|
fprintf(stderr, "Failed to read '%s'\n", wav_filename.c_str());
|
|
return -1;
|
|
}
|
|
|
|
auto s = keyword_spotter.CreateStream();
|
|
s->AcceptWaveform(sampling_rate, samples.data(), samples.size());
|
|
|
|
std::vector<float> tail_paddings(static_cast<int>(0.8 * sampling_rate));
|
|
// Note: We can call AcceptWaveform() multiple times.
|
|
s->AcceptWaveform(sampling_rate, tail_paddings.data(),
|
|
tail_paddings.size());
|
|
|
|
// Call InputFinished() to indicate that no audio samples are available
|
|
s->InputFinished();
|
|
ss.push_back({std::move(s), wav_filename});
|
|
}
|
|
|
|
std::vector<sherpa_onnx::OnlineStream *> ready_streams;
|
|
for (;;) {
|
|
ready_streams.clear();
|
|
for (auto &s : ss) {
|
|
const auto p_ss = s.online_stream.get();
|
|
if (keyword_spotter.IsReady(p_ss)) {
|
|
ready_streams.push_back(p_ss);
|
|
}
|
|
std::ostringstream os;
|
|
const auto r = keyword_spotter.GetResult(p_ss);
|
|
if (!r.keyword.empty()) {
|
|
os << s.filename << "\n";
|
|
os << r.AsJsonString() << "\n\n";
|
|
fprintf(stderr, "%s", os.str().c_str());
|
|
}
|
|
}
|
|
|
|
if (ready_streams.empty()) {
|
|
break;
|
|
}
|
|
keyword_spotter.DecodeStreams(ready_streams.data(), ready_streams.size());
|
|
}
|
|
return 0;
|
|
}
|