cloudmersive-speech-api-client

CloudmersiveSpeechApiClient - JavaScript client for cloudmersive-speech-api-client Speech APIs enable you to recognize speech and convert it to text using advanced machine learning, and also to convert text to speech. Cloudmersive Speech API provides advanced voice recognition and text to speech capabilities

• API version: v1
• Package version: 1.1.6

Installation

For Node.js

npm

To publish the library as a npm, please follow the procedure in "Publishing npm packages".

Then install it via:

npm install cloudmersive-speech-api-client --save

Local development

To use the library locally without publishing to a remote npm registry, first install the dependencies by changing into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:

npm install

Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:

npm link

Finally, switch to the directory you want to use your cloudmersive-speech-api-client from, and run:

npm link /path/to/<JAVASCRIPT_CLIENT_DIR>

You should now be able to require('cloudmersive-speech-api-client') in javascript files from the directory you ran the last command above from.

git

If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:

    npm install GIT_USER_ID/GIT_REPO_ID --save

For browser

The library also works in the browser environment via npm and browserify. After following the above steps with Node.js and installing browserify with npm install -g browserify, perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually use this library):

browserify main.js > bundle.js

Then include bundle.js in the HTML pages.

Webpack Configuration

Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:

module: {
  rules: [
    {
      parser: {
        amd: false
      }
    }
  ]
}

Getting Started

Please follow the installation instruction and execute the following JS code:

var CloudmersiveSpeechApiClient = require('cloudmersive-speech-api-client');

var defaultClient = CloudmersiveSpeechApiClient.ApiClient.instance;

// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"

var api = new CloudmersiveSpeechApiClient.RecognizeApi()

var speechFile = "/path/to/file.txt"; // {File} Speech file to perform the operation on.  Common file formats such as WAV, MP3 are supported.


var callback = function(error, data, response) {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
};
api.recognizeFile(speechFile, callback);

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Class | Method | HTTP request | Description ------------ | ------------- | ------------- | ------------- CloudmersiveSpeechApiClient.RecognizeApi | recognizeFile | POST /speech/recognize/file | Recognize audio input as text using machine learning CloudmersiveSpeechApiClient.SpeakApi | speakPost | POST /speech/speak/text/basicVoice/{format} | Perform text-to-speech on a string CloudmersiveSpeechApiClient.SpeakApi | speakTextToSpeech | POST /speech/speak/text/voice/basic/audio | Perform text-to-speech on a string

Documentation for Models

• CloudmersiveSpeechApiClient.SpeechRecognitionResult
• CloudmersiveSpeechApiClient.TextToSpeechRequest

Documentation for Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header