Azure Speech Translator学习笔记

Azure语音服务的价格表：https://azure.microsoft.com/en-us/pricing/details/cognitive-services/translator/

Maven学习：https://www.runoob.com/maven/maven-pom.html

一个小型的quickstart 源码：https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/quickstart/java/jre/from-microphone/pom.xml

后端sample code（Java版本）：https://github.com/Azure-Samples/cognitive-services-speech-sdk/tree/master/samples/java/jre/console

支持地区列表：https://docs.microsoft.com/zh-cn/azure/cognitive-services/speech-service/regions

语音语言支持，包括语言编码：https://docs.microsoft.com/zh-cn/azure/cognitive-services/speech-service/language-support

Speech Service Overview，包括语音识别，语音合成的SDK和RestfulAPI的支持情况，订阅号获取方式，样例代码地址: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/overview#find-keys-and-locationregion

Java版本

Speech SDK Setup：https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/quickstarts/setup-platform?pivots=programming-language-java&tabs=dotnet%2Cwindows%2Cjre%2Cbrowser

Speech to Text quick start: https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/get-started-speech-to-text?tabs=windowsinstall&pivots=programming-language-java

语音翻译快速入门（包括语音转语音和语音转文字，同步以及异步）：https://docs.microsoft.com/zh-cn/azure/cognitive-services/speech-service/get-started-speech-translation?tabs=script%2Cwindowsinstall&pivots=programming-language-java

语音识别样例代码（使用流推送的function是recognitionWithAudioStreamAsync）：https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/a09557bb6f1d2c2321018bad81514a557aecd479/samples/java/jre/console/src/com/microsoft/cognitiveservices/speech/samples/console/SpeechRecognitionSamples.java#L320

语音识别+语音合成样例代码：https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/quickstart/java/jre/translate-speech-to-text/src/speechsdk/quickstart/Main.java

批量上传功能（如果是使用异步调用SDK的话不需要看，仅作记录）：https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/batch-transcription

C++部分

官方简易中文说明：https://docs.microsoft.com/zh-cn/azure/cognitive-services/speech-service/get-started-speech-translation?tabs=script%2Cterminal&pivots=programming-language-cpp

SDK download：https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-sdk?tabs=linux%2Cubuntu%2Cios-xcode%2Cmac-xcode%2Candroid-studio

C++ SDK API：https://docs.microsoft.com/en-us/cpp/cognitive-services/speech/speechrecognizer
pullStream：https://docs.microsoft.com/en-us/cpp/cognitive-services/speech/audio-pullaudioinputstream

ContinueAsync 样例代码：https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/a09557bb6f1d2c2321018bad81514a557aecd479/samples/cpp/windows/console/samples/translation_samples.cpp

---

针对服务器的环境配置

在云端进行部署的时候需要进行一些环境配置，下面的链接是针对RHEL7/CentOS7：https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-configure-rhel-centos-7

其他Linux版本配置见：https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-configure-openssl-linux?pivots=programming-language-java
个人只使用过CentOS的配置方法，下面那个配置链接里的设置并没有尝试过，但是使用同事的Ubuntu测试服务器运行非常顺利也没有使用额外的命令，显然Ubuntu需要的配置应该相对比较简单。

非C++开发的话完成下面这一步就行了，当然最好将下面这句话写入~/.bashrc或者~/.bash_profile中（有~/.bashrc则优先使用~/.bashrc），C++开发的话Azure所有配置都要全部run一遍：

# Add updated C/C++ runtimes to the library path
# (this is required for any development/testing with Speech SDK)
export LD_LIBRARY_PATH=/usr/local/lib64:$LD_LIBRARY_PATH

~/.bashrc的内容见下图：

打印出Azure Cognitive Service的日志

https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-use-logging
查看错误信息的话用这个方法非常有效。