1. Real time Speech Translation system
- Have you ever wondered how you can communicate with someone who speaks a different language in real time? A real-time speech translation system makes this possible! This project demonstrates how to create a system that translates spoken language into another language using Python.
Python’s method for real-time speech translation: Start by installing the required libraries using pip. Install
speech_recognitionfor speech-to-text conversion,googletransfor translation, andpyttsx3orgTTSfor text-to-speech.Use a microphone to capture speech and transcribe it into text with the
speech_recognitionlibrary. Next, utilize thegoogletranslibrary to translate the text into the target language. Finally, convert the translated text into speech using a text-to-speech library and play the audio.
import speech_recognition as sr
from googletrans import Translator
import pyttsx3
# Initialize modules
recognizer = sr.Recognizer()
translator = Translator()
tts_engine = pyttsx3.init()
def translate_speech():
with sr.Microphone() as source:
print("Speak something...")
try:
audio = recognizer.listen(source)
text = recognizer.recognize_google(audio)
print(f"Original: {text}")
# Translate
translated = translator.translate(text, src='en', dest='fr')
print(f"Translated: {translated.text}")
# Text-to-speech
tts_engine.say(translated.text)
tts_engine.runAndWait()
except Exception as e:
print(f"Error: {e}")
translate_speech()
In short, a real-time speech translation system is an excellent tool for breaking language barriers. With Python, you can efficiently combine speech recognition, translation, and text-to-speech to create an intuitive solution for global communication
