Voice Recognition and Speech APIs

Voice Recognition and Speech APIs

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Speech APIs enable you to recognize speech and convert it to text using advanced machine learning, and also to convert text to speech.

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πŸ“š Documentation & Examples

Everything you need to integrate with Voice Recognition and Speech APIs

πŸš€ Quick Start Examples

Voice Recognition and Speech APIs Javascript Examplejavascript
// Voice Recognition and Speech APIs API Example
const response = await fetch('https://www.cloudmersive.com/voice-recognition-and-speech-api', {
    method: 'GET',
    headers: {
        'Content-Type': 'application/json'
    }
});

const data = await response.json();
console.log(data);

Introduction to Cloudmersive Voice Recognition and Speech API

Cloudmersive Voice Recognition and Speech API is a powerful tool that allows developers to add voice recognition and speech synthesis capabilities to their applications. With this API, you can easily convert audio files into text, recognize and transcribe speech in real-time, as well as create text-to-speech audio files in multiple languages.

In this blog post, we will focus on the API documentation of this service and present some examples in JavaScript.

API Documentation and Examples

The API documentation is well-organized and easy to follow. You can access it here: https://www.cloudmersive.com/voice-recognition-and-speech-api. The documentation includes a detailed description of each API endpoint, supported formats, parameters, and responses.

In order to access the API, you need to sign up for a free account on their website and get an API key. Once you have your API key, you can use it to authenticate yourself and make API requests.

Converting Audio to Text

One of the key features of this API is converting audio files into text. To do this, you need to make a POST request to the following endpoint:

POST https://api.cloudmersive.com/convert/audio/to/text

Here is an example code snippet in JavaScript that demonstrates how to convert an audio file to text:

const apiKey = 'your-api-key';
const audioFile = 'path/to/audio/file.mp3';

const formData = new FormData()
formData.append('file', fs.createReadStream(audioFile))

axios({
  method: 'post',
  url: 'https://api.cloudmersive.com/convert/audio/to/text',
  headers: {
    'Apikey': apiKey,
    ...formData.getHeaders()
  },
  data: formData
})
.then(response => {
  console.log(response.data)
})
.catch(error => {
  console.log(error)
})

Real-time Speech Recognition

Cloudmersive Voice Recognition and Speech API also supports real-time speech recognition. You can use this feature to add natural language processing capabilities to your web or mobile applications.

Here is an example code snippet in JavaScript that demonstrates how to use the real-time speech recognition feature:

// create a new instance of SpeechRecognition
const recognition = new window.webkitSpeechRecognition();
recognition.continuous = true;
recognition.interimResults = true;

let finalTranscript = '';

// event listeners
recognition.onresult = (event) => {
  let interimTranscript = '';
  for (let i = event.resultIndex; i < event.results.length; i++) {
    const transcript = event.results[i][0].transcript;
    if (event.results[i].isFinal) {
      finalTranscript += transcript;
    } else {
      interimTranscript += transcript;
    }
  }
  console.log(finalTranscript);
};
 
 recogntion.onerror = (event) => {
  console.log('Recognition error: ' + event.error);
};
 
recognition.onend = () => {
  console.log('Recognition ended');
};

// start recognition
recognition.start();

Text-to-Speech

Another useful feature of Cloudmersive Voice Recognition and Speech API is text-to-speech conversion. You can use this feature to create audio files in multiple languages.

Here is an example code snippet in JavaScript that demonstrates how to create a text-to-speech audio file:

const apiKey = 'your-api-key';
const text = 'Hello world!';

axios({
  method: 'POST',
  url: 'https://api.cloudmersive.com/convert/text/to/speech',
  headers: {
    'Apikey': apiKey,
    'Content-Type': 'application/json'
  },
  data: {
    Text: text,
    Voice: 'en-US-Wavenet-C'
  }
})
.then(response => {
  console.log(response.data);
})
.catch(error => {
  console.log(error);
})

Conclusion

In this blog post, we have explored Cloudmersive Voice Recognition and Speech API documentation and provided some code examples in JavaScript. With this API, you can add powerful voice recognition and speech synthesis capabilities to your applications in an easy and scalable way.

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