python speech to text
The best library because you dont have to save the
text file or open the file to start the speech
pip install pyttsx3
import pyttsx3
engine = pyttsx3.init()
engine.say("Hello world")
engine.runAndWait()
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pip install pyttsx3
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#pip install SpeechRecognition
#in case of error use 'pip install pyaudio' or...
#in case of error use 'pip install pipwin' then 'pipwin install pyaudio'
#if error continued you may need to use python 3.6 or lower as the latest
#python may not support pyaudio...
import speech_recognition as sr
import pyttsx3
#audio of system to respond
engine = pyttsx3.init('sapi5')
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[0].id)
engine.setProperty('rate',180)
def speak(audio):
engine.say(audio)
engine.runAndWait()
# simple function to recognise speech from user
def takecommand():
#it takes microphone input and returns string output
r = sr.Recognizer()
with sr.Microphone() as source:
print('Listening.....')
r.pause_threshold = 1
r.energy_threshold = 4000
audio = r.listen(source)
try:
print('Recognising...')
query = r.recognize_google(audio, language='en-in')
print('User Said : ' , query)
except Exception as e:
print('exception : ',e)
speak("Sorry, I didn't hear that, Say that again Please")
return "None"
return query
while True:
query = takecommand() # whatever user says will be stored in this variable
print("The Test got in program is : "+query)
Thank you!
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import speech_recognition as sr
def take_command():
r = sr.Recognizer()
with sr.Microphone() as source:
print('Listening...')
r.pause_threshold = 1
r.energy_threshold = 50
audio = r.listen(source)
try:
print('Recognizing...')
qry = r.recognize_google(audio, language='en-in')
print(f"user said: {qry}\n")
# if any error occurs this line will run
except Exeption as e:
# if you don't want to print the error comment the bottom line
print(e)
print('Say that again please\n')
return 'None'
return qry
if __name__ == '__main__':
while True:
qry = takecommand().lower()
# now you can use the takecommand function where you want to recognize speech
# And please experiment with the above code
# like what pause_threshold and energy_threshold do
/\/\/\/\/\/\/\/\/\/\/\--- *HAPPYCODING* ---/\/\/\/\/\/\/\/\/\/\/\
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# importing libraries
import speech_recognition as sr
import os
from pydub import AudioSegment
from pydub.silence import split_on_silence
# create a speech recognition object
r = sr.Recognizer()
# a function that splits the audio file into chunks
# and applies speech recognition
def get_large_audio_transcription(path):
"""
Splitting the large audio file into chunks
and apply speech recognition on each of these chunks
"""
# open the audio file using pydub
sound = AudioSegment.from_wav(path)
# split audio sound where silence is 700 miliseconds or more and get chunks
chunks = split_on_silence(sound,
# experiment with this value for your target audio file
min_silence_len = 500,
# adjust this per requirement
silence_thresh = sound.dBFS-14,
# keep the silence for 1 second, adjustable as well
keep_silence=500,
)
folder_name = "audio-chunks"
# create a directory to store the audio chunks
if not os.path.isdir(folder_name):
os.mkdir(folder_name)
whole_text = ""
# process each chunk
for i, audio_chunk in enumerate(chunks, start=1):
# export audio chunk and save it in
# the `folder_name` directory.
chunk_filename = os.path.join(folder_name, f"chunk{i}.wav")
audio_chunk.export(chunk_filename, format="wav")
# recognize the chunk
with sr.AudioFile(chunk_filename) as source:
audio_listened = r.record(source)
# try converting it to text
try:
text = r.recognize_google(audio_listened)
except sr.UnknownValueError as e:
print("Error:", str(e))
else:
text = f"{text.capitalize()}. "
print(chunk_filename, ":", text)
whole_text += text
# return the text for all chunks detected
return whole_text
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import speech_recognition as sr
def main():
r = sr.Recognizer()
with sr.Microphone() as source:
r.adjust_for_ambient_noise(source)
audio = r.listen(source)
try:
print(r.recognize_google(audio))
except Exception as e:
print("Error : " + str(e))
with open("recorded.wav", "wb") as f:
f.write(audio.get_wav_data())
if __name__ == "__main__":
main()
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