125 lines
3.0 KiB
C++
125 lines
3.0 KiB
C++
// sherpa-onnx/csrc/sherpa-onnx-keyword-spotter-alsa.cc
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//
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// Copyright (c) 2024 Xiaomi Corporation
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#include <signal.h>
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#include <stdio.h>
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#include <stdlib.h>
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#include <algorithm>
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#include <cstdint>
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#include "sherpa-onnx/csrc/alsa.h"
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#include "sherpa-onnx/csrc/display.h"
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#include "sherpa-onnx/csrc/keyword-spotter.h"
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#include "sherpa-onnx/csrc/parse-options.h"
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bool stop = false;
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static void Handler(int sig) {
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stop = true;
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fprintf(stderr, "\nCaught Ctrl + C. Exiting...\n");
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}
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int main(int32_t argc, char *argv[]) {
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signal(SIGINT, Handler);
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const char *kUsageMessage = R"usage(
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Usage:
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./bin/sherpa-onnx-keyword-spotter-alsa \
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--tokens=/path/to/tokens.txt \
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--encoder=/path/to/encoder.onnx \
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--decoder=/path/to/decoder.onnx \
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--joiner=/path/to/joiner.onnx \
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--provider=cpu \
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--num-threads=2 \
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--keywords-file=keywords.txt \
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device_name
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/kws/pretrained_models/index.html
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for a list of pre-trained models to download.
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The device name specifies which microphone to use in case there are several
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on you system. You can use
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arecord -l
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to find all available microphones on your computer. For instance, if it outputs
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**** List of CAPTURE Hardware Devices ****
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card 3: UACDemoV10 [UACDemoV1.0], device 0: USB Audio [USB Audio]
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Subdevices: 1/1
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Subdevice #0: subdevice #0
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and if you want to select card 3 and the device 0 on that card, please use:
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hw:3,0
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or
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plughw:3,0
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as the device_name.
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)usage";
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sherpa_onnx::ParseOptions po(kUsageMessage);
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sherpa_onnx::KeywordSpotterConfig config;
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config.Register(&po);
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po.Read(argc, argv);
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if (po.NumArgs() != 1) {
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fprintf(stderr, "Please provide only 1 argument: the device name\n");
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po.PrintUsage();
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exit(EXIT_FAILURE);
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}
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fprintf(stderr, "%s\n", config.ToString().c_str());
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if (!config.Validate()) {
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fprintf(stderr, "Errors in config!\n");
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return -1;
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}
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sherpa_onnx::KeywordSpotter spotter(config);
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int32_t expected_sample_rate = config.feat_config.sampling_rate;
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std::string device_name = po.GetArg(1);
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sherpa_onnx::Alsa alsa(device_name.c_str());
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fprintf(stderr, "Use recording device: %s\n", device_name.c_str());
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if (alsa.GetExpectedSampleRate() != expected_sample_rate) {
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fprintf(stderr, "sample rate: %d != %d\n", alsa.GetExpectedSampleRate(),
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expected_sample_rate);
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exit(-1);
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}
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int32_t chunk = 0.1 * alsa.GetActualSampleRate();
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std::string last_text;
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auto stream = spotter.CreateStream();
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sherpa_onnx::Display display;
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int32_t keyword_index = 0;
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while (!stop) {
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const std::vector<float> &samples = alsa.Read(chunk);
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stream->AcceptWaveform(expected_sample_rate, samples.data(),
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samples.size());
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while (spotter.IsReady(stream.get())) {
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spotter.DecodeStream(stream.get());
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}
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const auto r = spotter.GetResult(stream.get());
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if (!r.keyword.empty()) {
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display.Print(keyword_index, r.AsJsonString());
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fflush(stderr);
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keyword_index++;
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}
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}
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return 0;
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}
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