Real-Time Voice to Text: A Developer's Guide to Speech Recognition

1// Example of a simple speech recognition request using the Web Speech API
2const recognition = new webkitSpeechRecognition();
3recognition.lang = 'en-US';
4recognition.interimResults = false;
5recognition.maxAlternatives = 1;
6
7recognition.onresult = function(event) {
8  const speechResult = event.results[0][0].transcript;
9  console.log('Confidence: ' + event.results[0][0].confidence);
10  console.log('Result: ' + speechResult);
11}
12
13recognition.onerror = function(event) {
14  console.error('Speech recognition error detected: ' + event.error);
15}
16
17recognition.start();
18

1# Illustrative Python code snippet showcasing NLP techniques for context analysis using NLTK
2import nltk
3from nltk.corpus import stopwords
4from nltk.tokenize import word_tokenize
5
6text = "The weather is nice today. Let's go to the beach."
7
8stop_words = set(stopwords.words('english'))
9word_tokens = word_tokenize(text)
10
11filtered_sentence = [w for w in word_tokens if not w.lower() in stop_words]
12
13print(filtered_sentence)
14

1# Simple code example integrating Google Cloud Speech-to-Text API
2from google.cloud import speech
3
4client = speech.SpeechClient()
5
6with open("audio.raw", "rb") as audio_file:
7    content = audio_file.read()
8
9audio = speech.RecognitionAudio(content=content)
10config = speech.RecognitionConfig(
11    encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
12    sample_rate_hertz=16000,
13    language_code="en-US",
14)
15
16response = client.recognize(config=config, audio=audio)
17
18for result in response.results:
19    print("Transcript: {}".format(result.alternatives[0].transcript))
20