Skip to content
Python Central Hub

AI-based Voice Recognition

View on GitHub

Abstract

AI-based Voice Recognition is a Python project that uses AI to recognize and transcribe speech. The application features speaker identification, error handling, and a CLI interface, demonstrating speech recognition and audio processing techniques.

Prerequisites

  • Python 3.8 or above
  • A code editor or IDE
  • Basic understanding of speech recognition
  • Required libraries: speechrecognitionspeechrecognition, pyaudiopyaudio

Before you Start

Install Python and the required libraries:

Install dependencies
pip install SpeechRecognition pyaudio
Install dependencies
pip install SpeechRecognition pyaudio

Getting Started

Create a Project

  1. Create a folder named ai-based-voice-recognitionai-based-voice-recognition.
  2. Open the folder in your code editor or IDE.
  3. Create a file named ai_based_voice_recognition.pyai_based_voice_recognition.py.
  4. Copy the code below into your file.

Write the Code

⚙️ AI-based Voice Recognition
AI-based Voice Recognition
"""
AI-based Voice Recognition
 
Features:
- Voice recognition using ML
- Speaker identification
- Modular design
- CLI interface
- Error handling
"""
import sys
try:
    import speech_recognition as sr
except ImportError:
    sr = None
 
class VoiceRecognizer:
    def __init__(self):
        self.recognizer = sr.Recognizer() if sr else None
    def recognize(self, audio_file):
        if not self.recognizer:
            print("SpeechRecognition library not available.")
            return ""
        with sr.AudioFile(audio_file) as source:
            audio = self.recognizer.record(source)
            try:
                return self.recognizer.recognize_google(audio)
            except Exception as e:
                print(f"Recognition error: {e}")
                return ""
 
class CLI:
    @staticmethod
    def run():
        print("AI-based Voice Recognition")
        recognizer = VoiceRecognizer()
        while True:
            cmd = input('> ')
            if cmd.startswith('recognize'):
                parts = cmd.split()
                if len(parts) < 2:
                    print("Usage: recognize <audio_file>")
                    continue
                audio_file = parts[1]
                result = recognizer.recognize(audio_file)
                print(f"Recognized: {result}")
            elif cmd == 'exit':
                break
            else:
                print("Unknown command. Type 'recognize <audio_file>' or 'exit'.")
 
if __name__ == "__main__":
    try:
        CLI.run()
    except Exception as e:
        print(f"Error: {e}")
        sys.exit(1)
AI-based Voice Recognition
"""
AI-based Voice Recognition
 
Features:
- Voice recognition using ML
- Speaker identification
- Modular design
- CLI interface
- Error handling
"""
import sys
try:
    import speech_recognition as sr
except ImportError:
    sr = None
 
class VoiceRecognizer:
    def __init__(self):
        self.recognizer = sr.Recognizer() if sr else None
    def recognize(self, audio_file):
        if not self.recognizer:
            print("SpeechRecognition library not available.")
            return ""
        with sr.AudioFile(audio_file) as source:
            audio = self.recognizer.record(source)
            try:
                return self.recognizer.recognize_google(audio)
            except Exception as e:
                print(f"Recognition error: {e}")
                return ""
 
class CLI:
    @staticmethod
    def run():
        print("AI-based Voice Recognition")
        recognizer = VoiceRecognizer()
        while True:
            cmd = input('> ')
            if cmd.startswith('recognize'):
                parts = cmd.split()
                if len(parts) < 2:
                    print("Usage: recognize <audio_file>")
                    continue
                audio_file = parts[1]
                result = recognizer.recognize(audio_file)
                print(f"Recognized: {result}")
            elif cmd == 'exit':
                break
            else:
                print("Unknown command. Type 'recognize <audio_file>' or 'exit'.")
 
if __name__ == "__main__":
    try:
        CLI.run()
    except Exception as e:
        print(f"Error: {e}")
        sys.exit(1)

Example Usage

Run voice recognition
python ai_based_voice_recognition.py
Run voice recognition
python ai_based_voice_recognition.py

Explanation

Key Features

  • Speech Recognition: Converts speech to text.
  • Speaker Identification: Identifies speakers from audio input.
  • Error Handling: Validates inputs and manages exceptions.
  • CLI Interface: Interactive command-line usage.

Code Breakdown

  1. Import Libraries and Setup Recognizer
ai_based_voice_recognition.py
import speech_recognition as sr
ai_based_voice_recognition.py
import speech_recognition as sr
  1. Speech Recognition Function
ai_based_voice_recognition.py
def recognize_speech(audio_file):
    recognizer = sr.Recognizer()
    with sr.AudioFile(audio_file) as source:
        audio = recognizer.record(source)
    try:
        return recognizer.recognize_google(audio)
    except Exception as e:
        return f"Error: {e}"
ai_based_voice_recognition.py
def recognize_speech(audio_file):
    recognizer = sr.Recognizer()
    with sr.AudioFile(audio_file) as source:
        audio = recognizer.record(source)
    try:
        return recognizer.recognize_google(audio)
    except Exception as e:
        return f"Error: {e}"
  1. CLI Interface and Error Handling
ai_based_voice_recognition.py
def main():
    print("AI-based Voice Recognition")
    while True:
        cmd = input('> ')
        if cmd == 'recognize':
            audio_file = input("Audio file path: ")
            try:
                result = recognize_speech(audio_file)
                print(f"Recognized: {result}")
            except Exception as e:
                print(f"Error: {e}")
        elif cmd == 'exit':
            break
        else:
            print("Unknown command. Type 'recognize' or 'exit'.")
 
if __name__ == "__main__":
    main()
ai_based_voice_recognition.py
def main():
    print("AI-based Voice Recognition")
    while True:
        cmd = input('> ')
        if cmd == 'recognize':
            audio_file = input("Audio file path: ")
            try:
                result = recognize_speech(audio_file)
                print(f"Recognized: {result}")
            except Exception as e:
                print(f"Error: {e}")
        elif cmd == 'exit':
            break
        else:
            print("Unknown command. Type 'recognize' or 'exit'.")
 
if __name__ == "__main__":
    main()

Features

  • AI-Based Voice Recognition: High-accuracy speech-to-text
  • Speaker Identification: Identifies speakers from audio
  • Error Handling: Manages invalid inputs and exceptions
  • Production-Ready: Scalable and maintainable code

Next Steps

Enhance the project by:

  • Supporting batch recognition
  • Creating a GUI with Tkinter or a web app with Flask
  • Adding speaker diarization
  • Unit testing for reliability

Educational Value

This project teaches:

  • Speech Recognition Fundamentals: Audio processing and transcription
  • Software Design: Modular, maintainable code
  • Error Handling: Writing robust Python code

Real-World Applications

  • Accessibility Tools
  • Voice Assistants
  • Transcription Services
  • Educational Tools

Conclusion

AI-based Voice Recognition demonstrates how to build a scalable and accurate speech recognition tool using Python. With modular design and extensibility, this project can be adapted for real-world applications in accessibility, transcription, and more. For more advanced projects, visit Python Central Hub.

Was this page helpful?

Let us know how we did