diff --git a/demos/TTSArmLinux/.gitignore b/demos/TTSArmLinux/.gitignore new file mode 100644 index 00000000000..13135e37624 --- /dev/null +++ b/demos/TTSArmLinux/.gitignore @@ -0,0 +1,4 @@ +build/ +output/ +libs/ +models/ diff --git a/demos/TTSArmLinux/README.md b/demos/TTSArmLinux/README.md new file mode 100644 index 00000000000..100622619aa --- /dev/null +++ b/demos/TTSArmLinux/README.md @@ -0,0 +1,88 @@ +# PaddleSpeech TTS 文本到语音 ARM Linux Demo + +修改自[demos/TTSAndroid](../TTSAndroid)，模型也来自该安卓Demo。 + +### 配置编译选项 + +打开 [config.sh](config.sh) 按需修改配置。 + +默认编译64位版本，如果要编译32位版本，把`ARM_ABI=armv8`改成`ARM_ABI=armv7hf`。 + +### 安装依赖 + +``` +# Ubuntu +sudo apt install build-essential cmake wget tar unzip + +# CentOS +sudo yum groupinstall "Development Tools" +sudo yum install cmake wget tar unzip +``` + +### 下载Paddle Lite库文件和模型文件 + +预编译的二进制使用与安卓Demo版本相同的Paddle-Lite推理库（[Paddle-Lite:68b66fd35](https://github.com/PaddlePaddle/Paddle-Lite/tree/68b66fd356c875c92167d311ad458e6093078449)）和模型（[fs2cnn_mbmelgan_cpu_v1.3.0](https://paddlespeech.bj.bcebos.com/demos/TTSAndroid/fs2cnn_mbmelgan_cpu_v1.3.0.tar.gz)）。 + +可用以下命令下载： + +``` +git clone https://github.com/PaddlePaddle/PaddleSpeech.git +cd PaddleSpeech/demos/TTSArmLinux +./download.sh +``` + +### 编译Demo + +``` +./build.sh +``` + +预编译的二进制兼容 Ubuntu 16.04 到 20.04。 + +如果编译或链接失败，说明发行版与预编译库不兼容，请尝试手动编译Paddle Lite库，具体步骤在最下面。 + +### 运行 + +``` +./run.sh +``` + +将把[src/main.cpp](src/main.cpp)里定义在`sentencesToChoose`数组中的十句话转换为`wav`文件，保存在`output`文件夹中。 + +----- + +### 手动编译Paddle Lite库 + +预编译的二进制兼容 Ubuntu 16.04 到 20.04，如果你的发行版与其不兼容，可以自行从源代码编译。 + +注意，我们只能保证 [Paddle-Lite:68b66fd35](https://github.com/PaddlePaddle/Paddle-Lite/tree/68b66fd356c875c92167d311ad458e6093078449) 与通过`download.sh`下载的模型兼容。 +如果使用其他版本的Paddle Lite库，可能需要用对应版本的opt工具重新导出模型。 + +此外，[Paddle-Lite 2.12](https://github.com/PaddlePaddle/Paddle-Lite/releases/tag/v2.12) 与TTS不兼容，无法导出或运行TTS模型，需要使用更新的版本（比如`develop`分支中的代码）。 +但`develop`分支中的代码可能与通过`download.sh`下载的模型不兼容，Demo运行起来可能会崩溃。 + +#### 安装Paddle Lite的编译依赖 + +``` +# Ubuntu +sudo apt install build-essential cmake git python + +# CentOS +sudo yum groupinstall "Development Tools" +sudo yum install cmake git python +``` + +#### 编译Paddle Lite 68b66fd35 + +``` +git clone https://github.com/PaddlePaddle/Paddle-Lite.git +cd Paddle-Lite +git checkout 68b66fd356c875c92167d311ad458e6093078449 +./lite/tools/build_linux.sh --with_extra=ON +``` + +编译完成后，打开Demo的[config.sh](config.sh)，把 `PADDLE_LITE_DIR` 改成以下值即可（注意替换`/path/to/`为实际目录）： + +``` +PADDLE_LITE_DIR="/path/to/Paddle-Lite/build.lite.linux.${ARM_ABI}.gcc/inference_lite_lib.armlinux.${ARM_ABI}/cxx" +``` diff --git a/demos/TTSArmLinux/build.sh b/demos/TTSArmLinux/build.sh new file mode 100755 index 00000000000..c872e57494f --- /dev/null +++ b/demos/TTSArmLinux/build.sh @@ -0,0 +1,20 @@ +#!/bin/bash +set -e + +cd "$(dirname "$(realpath "$0")")" + +# load configure +. ./config.sh + +# build +echo "ARM_ABI is ${ARM_ABI}" +echo "PADDLE_LITE_DIR is ${PADDLE_LITE_DIR}" + +rm -rf build +mkdir -p build +cd build + +cmake -DPADDLE_LITE_DIR="${PADDLE_LITE_DIR}" -DARM_ABI="${ARM_ABI}" ../src +make + +echo "make successful!" diff --git a/demos/TTSArmLinux/clean.sh b/demos/TTSArmLinux/clean.sh new file mode 100755 index 00000000000..1ea36556674 --- /dev/null +++ b/demos/TTSArmLinux/clean.sh @@ -0,0 +1,14 @@ +#!/bin/bash +set -e + +cd "$(dirname "$(realpath "$0")")" + +# load configure +. ./config.sh + +# remove dirs +set -x + +rm -rf "$OUTPUT_DIR" +rm -rf "$LIBS_DIR" +rm -rf "$MODELS_DIR" diff --git a/demos/TTSArmLinux/config.sh b/demos/TTSArmLinux/config.sh new file mode 100644 index 00000000000..0a04f18eeda --- /dev/null +++ b/demos/TTSArmLinux/config.sh @@ -0,0 +1,14 @@ +# configuration + +ARM_ABI=armv8 +#ARM_ABI=armv7hf + +MODELS_DIR="${PWD}/models" +LIBS_DIR="${PWD}/libs" +OUTPUT_DIR="${PWD}/output" + +PADDLE_LITE_DIR="${LIBS_DIR}/inference_lite_lib.armlinux.${ARM_ABI}.gcc.with_extra.with_cv/cxx" +#PADDLE_LITE_DIR="/path/to/Paddle-Lite/build.lite.linux.${ARM_ABI}.gcc/inference_lite_lib.armlinux.${ARM_ABI}/cxx" + +AM_MODEL_PATH="${MODELS_DIR}/cpu/fastspeech2_csmsc_arm.nb" +VOC_MODEL_PATH="${MODELS_DIR}/cpu/mb_melgan_csmsc_arm.nb" diff --git a/demos/TTSArmLinux/download.sh b/demos/TTSArmLinux/download.sh new file mode 100755 index 00000000000..560374bc94d --- /dev/null +++ b/demos/TTSArmLinux/download.sh @@ -0,0 +1,56 @@ +#!/bin/bash +set -e + +cd "$(dirname "$(realpath "$0")")" + +# load configure +. ./config.sh + +mkdir -p "$LIBS_DIR" "$MODELS_DIR" + +download() { + file="$1" + url="$2" + md5="$3" + dir="$4" + + cd "$dir" + + if [ -f "$file" ] && [ "$(md5sum "$file" | awk '{ print $1 }')" = "$md5" ]; then + echo "File $file (MD5: $md5) has been downloaded." + else + echo "Downloading $file..." + wget -O "$file" "$url" + + # MD5 verify + fileMd5="$(md5sum "$file" | awk '{ print $1 }')" + if [ "$fileMd5" == "$md5" ]; then + echo "File $file (MD5: $md5) has been downloaded." + else + echo "MD5 mismatch, file may be corrupt" + echo "$file MD5: $fileMd5, it should be $md5" + fi + fi + + echo "Extracting $file..." + echo '-----------------------' + tar -vxf "$file" + echo '=======================' +} + +download 'inference_lite_lib.armlinux.armv8.gcc.with_extra.with_cv.tar.gz' \ + 'https://paddlespeech.bj.bcebos.com/demos/TTSArmLinux/inference_lite_lib.armlinux.armv8.gcc.with_extra.with_cv.tar.gz' \ + '39e0c6604f97c70f5d13c573d7e709b9' \ + "$LIBS_DIR" + +download 'inference_lite_lib.armlinux.armv7hf.gcc.with_extra.with_cv.tar.gz' \ + 'https://paddlespeech.bj.bcebos.com/demos/TTSArmLinux/inference_lite_lib.armlinux.armv7hf.gcc.with_extra.with_cv.tar.gz' \ + 'f5ceb509f0b610dafb8379889c5f36f8' \ + "$LIBS_DIR" + +download 'fs2cnn_mbmelgan_cpu_v1.3.0.tar.gz' \ + 'https://paddlespeech.bj.bcebos.com/demos/TTSAndroid/fs2cnn_mbmelgan_cpu_v1.3.0.tar.gz' \ + '93ef17d44b498aff3bea93e2c5c09a1e' \ + "$MODELS_DIR" + +echo "Done." diff --git a/demos/TTSArmLinux/run.sh b/demos/TTSArmLinux/run.sh new file mode 100755 index 00000000000..efcb61b5b96 --- /dev/null +++ b/demos/TTSArmLinux/run.sh @@ -0,0 +1,18 @@ +#!/bin/bash +set -e + +cd "$(dirname "$(realpath "$0")")" + +# load configure +. ./config.sh + +# create dir +rm -rf "$OUTPUT_DIR" +mkdir -p "$OUTPUT_DIR" + +# run +for i in {1..10}; do + (set -x; ./build/paddlespeech_tts_demo "$AM_MODEL_PATH" "$VOC_MODEL_PATH" $i "$OUTPUT_DIR/$i.wav") +done + +ls -lh "$OUTPUT_DIR"/*.wav diff --git a/demos/TTSArmLinux/src/CMakeLists.txt b/demos/TTSArmLinux/src/CMakeLists.txt new file mode 100644 index 00000000000..e1076af92bb --- /dev/null +++ b/demos/TTSArmLinux/src/CMakeLists.txt @@ -0,0 +1,47 @@ +cmake_minimum_required(VERSION 3.10) +set(CMAKE_SYSTEM_NAME Linux) +if(ARM_ABI STREQUAL "armv8") + set(CMAKE_SYSTEM_PROCESSOR aarch64) + #set(CMAKE_C_COMPILER "aarch64-linux-gnu-gcc") + #set(CMAKE_CXX_COMPILER "aarch64-linux-gnu-g++") +elseif(ARM_ABI STREQUAL "armv7hf") + set(CMAKE_SYSTEM_PROCESSOR arm) + #set(CMAKE_C_COMPILER "arm-linux-gnueabihf-gcc") + #set(CMAKE_CXX_COMPILER "arm-linux-gnueabihf-g++") +else() + message(FATAL_ERROR "Unknown arch abi ${ARM_ABI}, only support armv8 and armv7hf.") + return() +endif() + +project(paddlespeech_tts_demo) +message(STATUS "TARGET ARCH ABI: ${ARM_ABI}") +message(STATUS "PADDLE LITE DIR: ${PADDLE_LITE_DIR}") + +include_directories(${PADDLE_LITE_DIR}/include) +link_directories(${PADDLE_LITE_DIR}/libs/${ARM_ABI}) +link_directories(${PADDLE_LITE_DIR}/lib) +set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11") +if(ARM_ABI STREQUAL "armv8") + set(CMAKE_CXX_FLAGS "-march=armv8-a ${CMAKE_CXX_FLAGS}") + set(CMAKE_C_FLAGS "-march=armv8-a ${CMAKE_C_FLAGS}") +elseif(ARM_ABI STREQUAL "armv7hf") + set(CMAKE_CXX_FLAGS "-march=armv7-a -mfloat-abi=hard -mfpu=neon-vfpv4 ${CMAKE_CXX_FLAGS}") + set(CMAKE_C_FLAGS "-march=armv7-a -mfloat-abi=hard -mfpu=neon-vfpv4 ${CMAKE_C_FLAGS}" ) +endif() + +find_package(OpenMP REQUIRED) +if(OpenMP_FOUND OR OpenMP_CXX_FOUND) + set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} ${OpenMP_C_FLAGS}") + set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} ${OpenMP_CXX_FLAGS}") + message(STATUS "Found OpenMP ${OpenMP_VERSION} ${OpenMP_CXX_VERSION}") + message(STATUS "OpenMP C flags: ${OpenMP_C_FLAGS}") + message(STATUS "OpenMP CXX flags: ${OpenMP_CXX_FLAGS}") + message(STATUS "OpenMP OpenMP_CXX_LIB_NAMES: ${OpenMP_CXX_LIB_NAMES}") + message(STATUS "OpenMP OpenMP_CXX_LIBRARIES: ${OpenMP_CXX_LIBRARIES}") +else() + message(FATAL_ERROR "Could not found OpenMP!") + return() +endif() + +add_executable(paddlespeech_tts_demo main.cc) +target_link_libraries(paddlespeech_tts_demo paddle_light_api_shared) diff --git a/demos/TTSArmLinux/src/Predictor.hpp b/demos/TTSArmLinux/src/Predictor.hpp new file mode 100644 index 00000000000..221d51fc193 --- /dev/null +++ b/demos/TTSArmLinux/src/Predictor.hpp @@ -0,0 +1,232 @@ +#include +#include +#include +#include +#include +#include +#include +#include "paddle_api.h" + +using namespace paddle::lite_api; + +typedef int16_t WavDataType; + +class Predictor { +public: + bool Init(const std::string &AMModelPath, const std::string &VOCModelPath, int cpuThreadNum, const std::string &cpuPowerMode) { + // Release model if exists + ReleaseModel(); + + AM_predictor_ = LoadModel(AMModelPath, cpuThreadNum, cpuPowerMode); + if (AM_predictor_ == nullptr) { + return false; + } + VOC_predictor_ = LoadModel(VOCModelPath, cpuThreadNum, cpuPowerMode); + if (VOC_predictor_ == nullptr) { + return false; + } + + return true; + } + + ~Predictor() { + ReleaseModel(); + ReleaseWav(); + } + + std::shared_ptr LoadModel(const std::string &modelPath, int cpuThreadNum, const std::string &cpuPowerMode) { + if (modelPath.empty()) { + return nullptr; + } + + // 设置MobileConfig + MobileConfig config; + config.set_model_from_file(modelPath); + config.set_threads(cpuThreadNum); + + if (cpuPowerMode == "LITE_POWER_HIGH") { + config.set_power_mode(PowerMode::LITE_POWER_HIGH); + } else if (cpuPowerMode == "LITE_POWER_LOW") { + config.set_power_mode(PowerMode::LITE_POWER_LOW); + } else if (cpuPowerMode == "LITE_POWER_FULL") { + config.set_power_mode(PowerMode::LITE_POWER_FULL); + } else if (cpuPowerMode == "LITE_POWER_NO_BIND") { + config.set_power_mode(PowerMode::LITE_POWER_NO_BIND); + } else if (cpuPowerMode == "LITE_POWER_RAND_HIGH") { + config.set_power_mode(PowerMode::LITE_POWER_RAND_HIGH); + } else if (cpuPowerMode == "LITE_POWER_RAND_LOW") { + config.set_power_mode(PowerMode::LITE_POWER_RAND_LOW); + } else { + std::cerr << "Unknown cpu power mode!" << std::endl; + return nullptr; + } + + return CreatePaddlePredictor(config); + } + + void ReleaseModel() { + AM_predictor_ = nullptr; + VOC_predictor_ = nullptr; + } + + bool RunModel(const std::vector &phones) { + if (!IsLoaded()) { + return false; + } + + // 计时开始 + auto start = std::chrono::system_clock::now(); + + // 执行推理 + VOCOutputToWav(GetAMOutput(phones)); + + // 计时结束 + auto end = std::chrono::system_clock::now(); + + // 计算用时 + std::chrono::duration duration = end - start; + inference_time_ = duration.count() * 1000; // 单位：毫秒 + + return true; + } + + std::unique_ptr GetAMOutput(const std::vector &phones) { + auto phones_handle = AM_predictor_->GetInput(0); + phones_handle->Resize({static_cast(phones.size())}); + phones_handle->CopyFromCpu(phones.data()); + AM_predictor_->Run(); + + // 获取输出Tensor + auto am_output_handle = AM_predictor_->GetOutput(0); + // 打印输出Tensor的shape + std::cout << "AM Output shape: "; + auto shape = am_output_handle->shape(); + for (auto s : shape) { + std::cout << s << ", "; + } + std::cout << std::endl; + + return am_output_handle; + } + + void VOCOutputToWav(std::unique_ptr &&input) { + auto mel_handle = VOC_predictor_->GetInput(0); + // [?, 80] + auto dims = input->shape(); + mel_handle->Resize(dims); + auto am_output_data = input->mutable_data(); + mel_handle->CopyFromCpu(am_output_data); + VOC_predictor_->Run(); + + // 获取输出Tensor + auto voc_output_handle = VOC_predictor_->GetOutput(0); + // 打印输出Tensor的shape + std::cout << "VOC Output shape: "; + auto shape = voc_output_handle->shape(); + for (auto s : shape) { + std::cout << s << ", "; + } + std::cout << std::endl; + + // 获取输出Tensor的数据 + int64_t output_size = 1; + for (auto dim : voc_output_handle->shape()) { + output_size *= dim; + } + auto output_data = voc_output_handle->mutable_data(); + + SaveFloatWav(output_data, output_size); + } + + inline float Abs(float number) { + return (number < 0) ? -number : number; + } + + void SaveFloatWav(float *floatWav, int64_t size) { + wav_.resize(size); + float maxSample = 0.01; + // 寻找最大采样值 + for (int64_t i=0; i maxSample) { + maxSample = sample; + } + } + // 把采样值缩放到 int_16 范围 + for (int64_t i=0; i & GetWav() { + return wav_; + } + + int GetWavSize() { + return wav_.size() * sizeof(WavDataType); + } + + void ReleaseWav() { + wav_.clear(); + } + + struct WavHeader { + // RIFF 头 + char riff[4] = {'R', 'I', 'F', 'F'}; + uint32_t size = 0; + char wave[4] = {'W', 'A', 'V', 'E'}; + + // FMT 头 + char fmt[4] = {'f', 'm', 't', ' '}; + uint32_t fmt_size = 16; + uint16_t audio_format = 1; // 1为整数编码，3为浮点编码 + uint16_t num_channels = 1; + + // 如果播放速度和音调异常，请修改采样率 + // 常见采样率：16000, 24000, 32000, 44100, 48000, 96000 + uint32_t sample_rate = 24000; + + uint32_t byte_rate = 64000; + uint16_t block_align = 2; + uint16_t bits_per_sample = sizeof(WavDataType) * 8; + + // DATA 头 + char data[4] = {'d', 'a', 't', 'a'}; + uint32_t data_size = 0; + }; + + bool WriteWavToFile(const std::string &wavPath) { + std::ofstream fout(wavPath, std::ios::binary); + if (!fout.is_open()) { + return false; + } + + // 写入头信息 + WavHeader header; + header.data_size = GetWavSize(); + header.size = sizeof(header) - 8 + header.data_size; + header.byte_rate = header.sample_rate * header.num_channels * header.bits_per_sample / 8; + header.block_align = header.num_channels * header.bits_per_sample / 8; + fout.write(reinterpret_cast(&header), sizeof(header)); + + // 写入wav数据 + fout.write(reinterpret_cast(wav_.data()), header.data_size); + + fout.close(); + return true; + } + +private: + float inference_time_ = 0; + std::shared_ptr AM_predictor_ = nullptr; + std::shared_ptr VOC_predictor_ = nullptr; + std::vector wav_; +}; diff --git a/demos/TTSArmLinux/src/main.cc b/demos/TTSArmLinux/src/main.cc new file mode 100644 index 00000000000..0bf78a7de4c --- /dev/null +++ b/demos/TTSArmLinux/src/main.cc @@ -0,0 +1,72 @@ +#include +#include +#include +#include "paddle_api.h" +#include "Predictor.hpp" + +using namespace paddle::lite_api; + +std::vector> sentencesToChoose = { + // 009901 昨日，这名“伤者”与医生全部被警方依法刑事拘留。 + {261, 231, 175, 116, 179, 262, 44, 154, 126, 177, 19, 262, 42, 241, 72, 177, 56, 174, 245, 37, 186, 37, 49, 151, 127, 69, 19, 179, 72, 69, 4, 260, 126, 177, 116, 151, 239, 153, 141}, + // 009902 钱伟长想到上海来办学校是经过深思熟虑的。 + {174, 83, 213, 39, 20, 260, 89, 40, 30, 177, 22, 71, 9, 153, 8, 37, 17, 260, 251, 260, 99, 179, 177, 116, 151, 125, 70, 233, 177, 51, 176, 108, 177, 184, 153, 242, 40, 45}, + // 009903 她见我一进门就骂，吃饭时也骂，骂得我抬不起头。 + {182, 2, 151, 85, 232, 73, 151, 123, 154, 52, 151, 143, 154, 5, 179, 39, 113, 69, 17, 177, 114, 105, 154, 5, 179, 154, 5, 40, 45, 232, 182, 8, 37, 186, 174, 74, 182, 168}, + // 009904 李述德在离开之前，只说了一句“柱驼杀父亲了”。 + {153, 74, 177, 186, 40, 42, 261, 10, 153, 73, 152, 7, 262, 113, 174, 83, 179, 262, 115, 177, 230, 153, 45, 73, 151, 242, 180, 262, 186, 182, 231, 177, 2, 69, 186, 174, 124, 153, 45}, + // 009905 这种车票和保险单捆绑出售属于重复性购买。 + {262, 44, 262, 163, 39, 41, 173, 99, 71, 42, 37, 28, 260, 84, 40, 14, 179, 152, 220, 37, 21, 39, 183, 177, 170, 179, 177, 185, 240, 39, 162, 69, 186, 260, 128, 70, 170, 154, 9}, + // 009906 戴佩妮的男友西米露接唱情歌，让她非常开心。 + {40, 10, 173, 49, 155, 72, 40, 45, 155, 15, 142, 260, 72, 154, 74, 153, 186, 179, 151, 103, 39, 22, 174, 126, 70, 41, 179, 175, 22, 182, 2, 69, 46, 39, 20, 152, 7, 260, 120}, + // 009907 观大势、谋大局、出大策始终是该院的办院方针。 + {70, 199, 40, 5, 177, 116, 154, 168, 40, 5, 151, 240, 179, 39, 183, 40, 5, 38, 44, 179, 177, 115, 262, 161, 177, 116, 70, 7, 247, 40, 45, 37, 17, 247, 69, 19, 262, 51}, + // 009908 他们骑着摩托回家，正好为农忙时的父母帮忙。 + {182, 2, 154, 55, 174, 73, 262, 45, 154, 157, 182, 230, 71, 212, 151, 77, 180, 262, 59, 71, 29, 214, 155, 162, 154, 20, 177, 114, 40, 45, 69, 186, 154, 185, 37, 19, 154, 20}, + // 009909 但是因为还没到退休年龄，只能掰着指头捱日子。 + {40, 17, 177, 116, 120, 214, 71, 8, 154, 47, 40, 30, 182, 214, 260, 140, 155, 83, 153, 126, 180, 262, 115, 155, 57, 37, 7, 262, 45, 262, 115, 182, 171, 8, 175, 116, 261, 112}, + // 009910 这几天雨水不断，人们恨不得待在家里不出门。 + {262, 44, 151, 74, 182, 82, 240, 177, 213, 37, 184, 40, 202, 180, 175, 52, 154, 55, 71, 54, 37, 186, 40, 42, 40, 7, 261, 10, 151, 77, 153, 74, 37, 186, 39, 183, 154, 52}, +}; + +void usage(const char *binName) { + std::cerr << "Usage:" << std::endl + << "\t" << binName << " " << std::endl; +} + +int main(int argc, char *argv[]) { + if (argc < 5) { + usage(argv[0]); + return -1; + } + const char *AMModelPath = argv[1]; + const char *VOCModelPath = argv[2]; + int sentencesIndex = atoi(argv[3]) - 1; + const char *outputWavPath = argv[4]; + + if (sentencesIndex < 0 || sentencesIndex >= sentencesToChoose.size()) { + std::cerr << "sentences-index out of range" << std::endl; + return -1; + } + + Predictor predictor; + if (!predictor.Init(AMModelPath, VOCModelPath, 1, "LITE_POWER_HIGH")) { + std::cerr << "predictor init failed" << std::endl; + return -1; + } + + if (!predictor.RunModel(sentencesToChoose[sentencesIndex])) { + std::cerr << "predictor run model failed" << std::endl; + return -1; + } + + std::cout << "Inference time: " << predictor.GetInferenceTime() << " ms, " + << "WAV size (without header): " << predictor.GetWavSize() << " bytes" << std::endl; + + if (!predictor.WriteWavToFile(outputWavPath)) { + std::cerr << "write wav file failed" << std::endl; + return -1; + } + + return 0; +}