203 lines
5.1 KiB
C++
203 lines
5.1 KiB
C++
// sherpa-onnx/csrc/sherpa-onnx-alsa-offline.cc
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//
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// Copyright (c) 2022-2024 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 <cctype> // std::tolower
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#include <chrono> // NOLINT
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#include <mutex> // NOLINT
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#include <thread> // NOLINT
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#include "sherpa-onnx/csrc/alsa.h"
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#include "sherpa-onnx/csrc/macros.h"
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#include "sherpa-onnx/csrc/offline-recognizer.h"
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enum class State {
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kIdle,
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kRecording,
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kDecoding,
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};
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State state = State::kIdle;
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// true to stop the program and exit
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bool stop = false;
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std::vector<float> samples;
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std::mutex samples_mutex;
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static void DetectKeyPress() {
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SHERPA_ONNX_LOGE("Press Enter to start");
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int32_t key;
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while (!stop && (key = getchar())) {
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if (key != 0x0a) {
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continue;
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}
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switch (state) {
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case State::kIdle:
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SHERPA_ONNX_LOGE("Start recording. Press Enter to stop recording");
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state = State::kRecording;
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{
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std::lock_guard<std::mutex> lock(samples_mutex);
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samples.clear();
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}
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break;
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case State::kRecording:
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SHERPA_ONNX_LOGE("Stop recording. Decoding ...");
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state = State::kDecoding;
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break;
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case State::kDecoding:
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break;
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}
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}
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}
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static void Record(const char *device_name, int32_t expected_sample_rate) {
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sherpa_onnx::Alsa alsa(device_name);
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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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while (!stop) {
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std::lock_guard<std::mutex> lock(samples_mutex);
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const std::vector<float> &s = alsa.Read(chunk);
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samples.insert(samples.end(), s.begin(), s.end());
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}
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}
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static void Handler(int32_t sig) {
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stop = true;
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fprintf(stderr, "\nCaught Ctrl + C. Press Enter to exit\n");
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}
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int32_t 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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This program uses non-streaming models with microphone for speech recognition.
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Usage:
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(1) Transducer from icefall
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./bin/sherpa-onnx-alsa-offline \
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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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--num-threads=2 \
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--decoding-method=greedy_search \
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device_name
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(2) Paraformer from FunASR
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./bin/sherpa-onnx-alsa-offline \
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--tokens=/path/to/tokens.txt \
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--paraformer=/path/to/model.onnx \
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--num-threads=1 \
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device_name
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(3) Whisper models
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./bin/sherpa-onnx-alsa-offline \
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--whisper-encoder=./sherpa-onnx-whisper-base.en/base.en-encoder.int8.onnx \
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--whisper-decoder=./sherpa-onnx-whisper-base.en/base.en-decoder.int8.onnx \
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--tokens=./sherpa-onnx-whisper-base.en/base.en-tokens.txt \
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--num-threads=1 \
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device_name
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Please refer to
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https://k2-fsa.github.io/sherpa/onnx/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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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::OfflineRecognizerConfig 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_LOGE("Creating recognizer ...");
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sherpa_onnx::OfflineRecognizer recognizer(config);
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SHERPA_ONNX_LOGE("Recognizer created!");
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std::string device_name = po.GetArg(1);
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fprintf(stderr, "Use recording device: %s\n", device_name.c_str());
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int32_t sample_rate = config.feat_config.sampling_rate;
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std::thread t(DetectKeyPress);
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std::thread t2(Record, device_name.c_str(), sample_rate);
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while (!stop) {
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switch (state) {
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case State::kIdle:
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break;
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case State::kRecording:
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break;
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case State::kDecoding: {
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std::vector<float> buf;
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{
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std::lock_guard<std::mutex> lock(samples_mutex);
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buf = std::move(samples);
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}
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auto s = recognizer.CreateStream();
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s->AcceptWaveform(sample_rate, buf.data(), buf.size());
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recognizer.DecodeStream(s.get());
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SHERPA_ONNX_LOGE("Decoding Done! Result is:");
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SHERPA_ONNX_LOGE("%s", s->GetResult().text.c_str());
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state = State::kIdle;
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SHERPA_ONNX_LOGE("Press Enter to start");
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break;
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}
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}
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using namespace std::chrono_literals;
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std::this_thread::sleep_for(20ms); // sleep for 20ms
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}
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t.join();
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t2.join();
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return 0;
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}
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