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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <iostream>
#include <map>
#include <vector>
#include <algorithm>
#include <cmath>
#include "CmdArgsParser.hpp"
#include "ArmnnNetworkExecutor.hpp"
#include "AudioCapture.hpp"
#include "Preprocess.hpp"
#include "Decoder.hpp"
#include "SpeechRecognitionPipeline.hpp"
using InferenceResult = std::vector<int8_t>;
using InferenceResults = std::vector<InferenceResult>;
const std::string AUDIO_FILE_PATH = "--audio-file-path";
const std::string MODEL_FILE_PATH = "--model-file-path";
const std::string LABEL_PATH = "--label-path";
const std::string PREFERRED_BACKENDS = "--preferred-backends";
const std::string HELP = "--help";
std::map<int, std::string> labels = {
{0, "a" },
{1, "b" },
{2, "c" },
{3, "d" },
{4, "e" },
{5, "f" },
{6, "g" },
{7, "h" },
{8, "i" },
{9, "j" },
{10,"k" },
{11,"l" },
{12,"m" },
{13,"n" },
{14,"o" },
{15,"p" },
{16,"q" },
{17,"r" },
{18,"s" },
{19,"t" },
{20,"u" },
{21,"v" },
{22,"w" },
{23,"x" },
{24,"y" },
{25,"z" },
{26, "\'" },
{27, " "},
{28,"$" }
};
/*
* The accepted options for this Speech Recognition executable
*/
static std::map<std::string, std::string> CMD_OPTIONS = {
{AUDIO_FILE_PATH, "[REQUIRED] Path to the Audio file to run speech recognition on"},
{MODEL_FILE_PATH, "[REQUIRED] Path to the Speech Recognition model to use"},
{PREFERRED_BACKENDS, "[OPTIONAL] Takes the preferred backends in preference order, separated by comma."
" For example: CpuAcc,GpuAcc,CpuRef. Accepted options: [CpuAcc, CpuRef, GpuAcc]."
" Defaults to CpuAcc,CpuRef"}
};
/*
* Reads the user supplied backend preference, splits it by comma, and returns an ordered vector
*/
std::vector<armnn::BackendId> GetPreferredBackendList(const std::string& preferredBackends)
{
std::vector<armnn::BackendId> backends;
std::stringstream ss(preferredBackends);
while(ss.good())
{
std::string backend;
std::getline( ss, backend, ',' );
backends.emplace_back(backend);
}
return backends;
}
int main(int argc, char *argv[])
{
// Wav2Letter ASR SETTINGS
int SAMP_FREQ = 16000;
int FRAME_LEN_MS = 32;
int FRAME_LEN_SAMPLES = SAMP_FREQ * FRAME_LEN_MS * 0.001;
int NUM_MFCC_FEATS = 13;
int MFCC_WINDOW_LEN = 512;
int MFCC_WINDOW_STRIDE = 160;
const int NUM_MFCC_VECTORS = 296;
int SAMPLES_PER_INFERENCE = MFCC_WINDOW_LEN + ((NUM_MFCC_VECTORS -1) * MFCC_WINDOW_STRIDE);
int MEL_LO_FREQ = 0;
int MEL_HI_FREQ = 8000;
int NUM_FBANK_BIN = 128;
int INPUT_WINDOW_LEFT_CONTEXT = 98;
int INPUT_WINDOW_RIGHT_CONTEXT = 98;
int INPUT_WINDOW_INNER_CONTEXT = NUM_MFCC_VECTORS -
(INPUT_WINDOW_LEFT_CONTEXT + INPUT_WINDOW_RIGHT_CONTEXT);
int SLIDING_WINDOW_OFFSET = INPUT_WINDOW_INNER_CONTEXT * MFCC_WINDOW_STRIDE;
MfccParams mfccParams(SAMP_FREQ, NUM_FBANK_BIN,
MEL_LO_FREQ, MEL_HI_FREQ, NUM_MFCC_FEATS, FRAME_LEN_SAMPLES, false, NUM_MFCC_VECTORS);
MFCC mfccInst = MFCC(mfccParams);
Preprocess preprocessor(MFCC_WINDOW_LEN, MFCC_WINDOW_STRIDE, mfccInst);
bool isFirstWindow = true;
std::string currentRContext = "";
std::map <std::string, std::string> options;
int result = ParseOptions(options, CMD_OPTIONS, argv, argc);
if (result != 0)
{
return result;
}
// Create the network options
common::PipelineOptions pipelineOptions;
pipelineOptions.m_ModelFilePath = GetSpecifiedOption(options, MODEL_FILE_PATH);
if (CheckOptionSpecified(options, PREFERRED_BACKENDS))
{
pipelineOptions.m_backends = GetPreferredBackendList((GetSpecifiedOption(options, PREFERRED_BACKENDS)));
}
else
{
pipelineOptions.m_backends = {"CpuAcc", "CpuRef"};
}
asr::IPipelinePtr asrPipeline = asr::CreatePipeline(pipelineOptions, labels);
asr::AudioCapture capture;
std::vector<float> audioData = capture.LoadAudioFile(GetSpecifiedOption(options, AUDIO_FILE_PATH));
capture.InitSlidingWindow(audioData.data(), audioData.size(), SAMPLES_PER_INFERENCE, SLIDING_WINDOW_OFFSET);
while (capture.HasNext())
{
std::vector<float> audioBlock = capture.Next();
InferenceResults results;
std::vector<int8_t> preprocessedData = asrPipeline->PreProcessing<float, int8_t>(audioBlock, preprocessor);
asrPipeline->Inference<int8_t>(preprocessedData, results);
asrPipeline->PostProcessing<int8_t>(results, isFirstWindow, !capture.HasNext(), currentRContext);
}
return 0;
}
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