SpeechRecognition

What is SpeechRecognition ?

SpeechRecognition is a library designed to recognize spoken words in audio streams. It can convert speech to text using various APIs and supports real-time audio processing. The tool is cross-platform and works seamlessly with multiple operating systems.

Features

• Multiple API Support: Integrates with Google Speech Recognition, Microsoft Bing Voice Recognition, Houndify, and IBM Speech to Text. • Real-Time Audio Processing: Captures and processes audio input from microphones or other sources. • Cross-Platform Compatibility: Works on Windows, macOS, and Linux. • Language Flexibility: Supports recognition in multiple languages. • Offline Capabilities: Can function without an internet connection in some configurations.

How to use SpeechRecognition ?

1. Install SpeechRecognition using pip:

pip install SpeechRecognition

2. Import the library in your Python script:

import speech_recognition as sr

3. Create a speech recognition object:

r = sr.Recognizer()

4. Use the microphone to capture audio:

with sr.Microphone() as source:
    audio = r.listen(source)

5. Process the audio using your preferred recognition service:

try:
    print(r.recognize_google(audio))
except sr.UnknownValueError:
    print("Could not understand audio")

Frequently Asked Questions

What is SpeechRecognition used for?
SpeechRecognition is primarily used to convert spoken words into text, enabling voice commands, transcription, and other voice-based applications.

Does SpeechRecognition support multiple languages?
Yes, SpeechRecognition supports multiple languages, including English, Spanish, French, German, and many others, depending on the API used.

Can SpeechRecognition work offline?
Some APIs supported by SpeechRecognition allow offline functionality, but many require an internet connection for processing.