Step 1: Import the speech_recognition library
Step 2: Initialize the Recognizer
Step 3: Create an instance of the Recognizer class, which will be used for recognizing speech.
Step 4: Set the duration for audio capture
Step 5: Define a variable to specify the duration (in seconds) for which the program will capture audio from the microphone.
Step 6: Display a message in the console to prompt the user to speak.
Step 7: Capture audio from the default microphone
Step 9: Use the default microphone as the audio source.
Step 10: Record audio for the specified duration using the Recognizer instance.
Step 11: Perform speech recognition with exceptional handling:
• Attempt to recognize speech from the captured audio using the Google Speech Recognition service.
• If successful, print the recognized text.
• Handle specific exceptions: If the recognition result is unknown or if there is an issue with the request to the Google Speech Recognition service, print corresponding error messages.
• A generic exception block captures any other unexpected errors.
import speech_recognition as sr
# Assign a string variable "file" with the name of the audio file that you want to transcribe.
file = "audio.wav"
# Create an instance of the Recognizer class called "r".
r = sr.Recognizer()
# Use the AudioFile() method of sr to create an AudioFile object with the audio file name passed as an argument.
with sr.AudioFile(file) as source:
audio = r.record(source)
# Use the recognize_google() method of r to transcribe the audio data stored in the "audio" variable.
try:
text = r.recognize_google(audio)
except sr.UnknownValueError:
print("Not clear")
except sr.RequestError as e:
print("Couldn't get results from Google Speech Recognition service; {0}".format(e))
# Print the text in the next lines.
for line in text.splitlines():
print(line)
Thus, we have implemented a program that will transcribe the audio file in the file variable and print the transcribed text on the console, one line at a time.
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