0% found this document useful (0 votes)
9 views5 pages

PBL 2

The document outlines the software and hardware requirements for a voice recognition system using Python, including necessary libraries and APIs. It describes the system architecture, including components like speech recognition, command parsing, and feedback generation. Additionally, it provides a sample program that captures voice commands and executes system tasks based on user input.

Uploaded by

skaveripatil6
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
9 views5 pages

PBL 2

The document outlines the software and hardware requirements for a voice recognition system using Python, including necessary libraries and APIs. It describes the system architecture, including components like speech recognition, command parsing, and feedback generation. Additionally, it provides a sample program that captures voice commands and executes system tasks based on user input.

Uploaded by

skaveripatil6
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 5

6.

Software Requirements:
1. Programming Language: Python (with libraries like
SpeechRecognition, pyttsx3, etc.).
2. Operating System: Windows/Linux/MacOS.
3. IDE: Visual Studio Code, PyCharm, or Jupyter Notebook.
4. APIs: Google Speech-to-Text API or similar for speech recognition.
5. Database: SQLite or any lightweight database for storing user
preferences.
7. Hardware Requirements:
1. Processor: Minimum Intel i3 or equivalent.
2. RAM: At least 4GB (8GB recommended for smoother performance).
3. Microphone: For capturing voice commands.
4. Speakers: For audio feedback.
5. Storage: Minimum 500MB free space for program and dependencies.
SYSTEM DIAGRAM:

User Interface
Input: Microphone Output: Speakers

Speech Recognition (Speech-to-Text)

Command Parser (Intent Recognition Layer)

Execution Module
(Executes system-level actions like opening apps, changing settings, etc.)

Feedback Generation Unit


(Text-to-Speech for audio response)
USECASE DIAGRAM:
User

Provide Voice Command

Speech Recognition System

Command Parsing Unit

Execution module Feedback System


(Perform Task) (Text-to-Speech)

Perform System Task Provide Feedback


PROGRAM:

import speech_recognition as sr
import pyttsx3
import os

# Function to convert text to speech


def speak(text):
engine = pyttsx3.init()
engine.say(text)
engine.runAndWait()

# Function to capture and recognize speech


def listen():
recognizer = sr.Recognizer()
with sr.Microphone() as source:
print("Listening...")
audio = recognizer.listen(source)
try:
command = recognizer.recognize_google(audio)
print(f"You said: {command}")
return command.lower()
except sr.UnknownValueError:
speak("Sorry, I didn't catch that.")
return None
# Function to execute recognized commands
def execute_command(command):
if "open notepad" in command:
os.system("notepad")
speak("Opening Notepad.")
elif "play music" in command:
os.system("start wmplayer") # Command for Windows Media Player
speak("Playing music.")
elif "exit" in command:
speak("Goodbye!")
exit()
else:
speak("Command not recognized.")

# Main program loop


if __name__ == "__main__":
speak("Hello! I am your AI assistant. How can I help you?")
while True:
user_command = listen()
if user_command:
execute_command(user_command)

You might also like