To help you get started, we've collected the most common ways that microsoft-cognitiveservices-speech-sdk is being used within popular public projects.

Azure-Samples / cognitive-services-speech-sdk / quickstart / js-node / index.js View on Github

// create the push stream we need for the speech sdk.
  var pushStream = sdk.AudioInputStream.createPushStream();
  
  // open the file and push it to the push stream.
  fs.createReadStream(filename).on('data', function(arrayBuffer) {
    pushStream.write(arrayBuffer.slice());
  }).on('end', function() {
    pushStream.close();
  });
  
  // we are done with the setup
  console.log("Now recognizing from: " + filename);
  
  // now create the audio-config pointing to our stream and
  // the speech config specifying the language.
  var audioConfig = sdk.AudioConfig.fromStreamInput(pushStream);
  var speechConfig = sdk.SpeechConfig.fromSubscription(subscriptionKey, serviceRegion);
  
  // setting the recognition language to English.
  speechConfig.speechRecognitionLanguage = "en-US";
  
  // create the speech recognizer.
  var recognizer = new sdk.SpeechRecognizer(speechConfig, audioConfig);
  
  // start the recognizer and wait for a result.
  recognizer.recognizeOnceAsync(
    function (result) {
      console.log(result);
  
      recognizer.close();
      recognizer = undefined;
    },

View more ways to use microsoft-cognitiveservices-speech-sdk

Microsoft Cognitive Services Speech SDK for JavaScript

The Microsoft Cognitive Services Speech SDK for JavaScript is the JavaScript version of the Microsoft Cognitive Services Speech SDK. An in-depth description of feature set, functionality, supported platforms, as well as installation options is available here.

The JavaScript versions of the Cognitive Services Speech SDK supports browser scenarios as well as the Node.js environment.

Installing

For the latest stable version:

npm install microsoft-cognitiveservices-speech-sdk

Documentation

• Quick tutorial - Node.js
• API Reference
• Speech SDK Homepage

Samples

• Quick-start samples for Node.js: In the Speech SDK samples repo under quickstart/javascript/node.
• Quick-start samples for Browser: In the Speech SDK samples repo under quickstart/javascript/browser.
• Other Node.js and Browser samples: In the Speech SDK samples repo under samples/js.

Building

This source code for the Cognitive Services Speech SDK (JavaScript) is available in a public GitHub repository. You are not required to go through the build process. We create prebuilt packages tuned for your use-cases. These are updated in regular intervals.

In order to build the Speech SDK, ensure that you have Git and Node.js installed. Version requirement for Node: 12.44.0 or higher (or 14.17.0 or higher for Node 14).

Clone the repository:

git clone https://github.com/Microsoft/cognitive-services-speech-sdk-js

Change to the Speech SDK directory:

cd cognitive-services-speech-sdk-js

Run setup to pull updated dependency versions:

npm run setup

Install the required packages:

npm install

Run the build:

npm run build

Testing

Run all tests

Run tests (see ci/build.yml) -- complete results require several specifically-configured subscriptions, but incomplete results can be obtained with a subset (expect and ignore failures involving missing assignments).

At a minimum, invoking npm run test will compile/lint the test files to catch early problems in test code changes.

RunTests.cmd ^
    SpeechSubscriptionKey:SPEECH_KEY ^
    SpeechRegion:SPEECH_REGION ^
    LuisSubscriptionKey:LUIS_KEY ^
    LuisRegion:LUIS_REGION ^
    SpeechTestEndpointId:CUSTOM_ENDPOINT ^
    BotSubscription:BOT_KEY ^
    BotRegion:BOT_REGION ^
    SpeakerIDSubscriptionKey:SPEAKER_ID_KEY ^
    SpeakerIDRegion:SPEAKER_ID_SUBSCRIPTION_REGION ^
    CustomVoiceSubscriptionKey:CUSTOM_VOICE_KEY ^
    CustomVoiceRegion:CUSTOM_VOICE_REGION

Run a subset of tests

• Edit the file jest.config.js. Replace the regex expressions in testRegex: "tests/.*Tests\\.ts$" with one that defines the test file (or files) you want to run. For example, to only run tests defined in AutoSourceLangDetectionTests.ts, replace it with testRegex: "tests/AutoSourceLangDetectionTests.ts". Do this is for the two project jsdom and node.

• Option 1: Use a secrets file. Create the file secrets\TestConfiguration.ts. It should import the default configuration settings and define the values of the mandatory ones for this test, as well as and any additional optional settings. For example, to run the AutoSourceLangDetectionTests.ts tests, the required mandatory values are the speech key and region (using a fake key here as an example):

  import { Settings } from "../tests/Settings";
  Settings.SpeechSubscriptionKey = "0123456789abcdef0123456789abcdef";
  Settings.SpeechRegion = "westcentralus";
  

  Then to run the tests type RunTests.cmd in the root of the repo.

• Option 2: Use command line arguments. Instead of creating secrets\TestConfiguration.ts, pass the values directly to RunTests.cmd. For the above example, this would be:

  RunTests.cmd SpeechSubscriptionKey:0123456789abcdef0123456789abcdef SpeechRegion:westcentralus
  

• Option 3: Edit the file tests\Settings.ts directly and enter values needed to run the test.

• See summary of the test results in test-javascript-junit.xml.

Data / Telemetry

This project collects data and sends it to Microsoft to help monitor our service performance and improve our products and services. Read the Microsoft Privacy Statement to learn more.

To disable telemetry, you can call the following API:

// disable telemetry data
sdk.Recognizer.enableTelemetry(false);

This is a global setting and will disable telemetry for all recognizers (already created or new recognizers).

We strongly recommend you keep telemetry enabled. With telemetry enabled you transmit information about your platform (operating system and possibly, Speech Service relevant information like microphone characteristics, etc.), and information about the performance of the Speech Service (the time when you did send data and when you received data). It can be used to tune the service, monitor service performance and stability, and might help us to analyze reported problems. Without telemetry enabled, it is not possible for us to do any form of detailed analysis in case of a support request.

Contributing

This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.microsoft.com.

When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.