text to speech python code code example
Example 1: python text to speech
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()
Example 2: text to speech to specific language python
from gtts import gTTS
from playsound import playsound
mytext="Hello Geek! How are you doing??"
language='en'
myobj=gTTS(text=mytext,lang=language,slow=True)
myobj.save("welcome1.mp3")
playsound("welcome1.mp3")
Example 3: python speech to text
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()
Example 4: python code voice to text
import speech_recognition as sr
import os
from pydub import AudioSegment
from pydub.silence import split_on_silence
r = sr.Recognizer()
def get_large_audio_transcription(path):
"""
Splitting the large audio file into chunks
and apply speech recognition on each of these chunks
"""
sound = AudioSegment.from_wav(path)
chunks = split_on_silence(sound,
min_silence_len = 500,
silence_thresh = sound.dBFS-14,
keep_silence=500,
)
folder_name = "audio-chunks"
if not os.path.isdir(folder_name):
os.mkdir(folder_name)
whole_text = ""
for i, audio_chunk in enumerate(chunks, start=1):
chunk_filename = os.path.join(folder_name, f"chunk{i}.wav")
audio_chunk.export(chunk_filename, format="wav")
with sr.AudioFile(chunk_filename) as source:
audio_listened = r.record(source)
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 whole_text