# voice gender ("neutral")
voice = texttospeech.VoiceSelectionParams(
language_code=language,
ssml_gender=texttospeech.SsmlVoiceGender.NEUTRAL)
# Select the type of audio file you want returned
audio_config = texttospeech.AudioConfig(
audio_encoding=texttospeech.AudioEncoding.MP3)
# Perform the text-to-speech request on the text input with the selected
# voice parameters and audio file type
response = client.synthesize_speech(input=synthesis_input,
voice=voice,
audio_config=audio_config)
# The response's audio_content is binary.
with open('audio/{}.mp3'.format(text), 'wb') as out:
# Write the response to the output file.
out.write(response.audio_content)
if __name__ == "__main__":
# Get list of korean words and get the audio for each word
words = get_hangeul()
# Create the dataframe of words and save it as .csv file
dictionary = pd.DataFrame(
words, columns=['word', 'korean', 'pronunciation', 'meaning'])
dictionary.to_csv('dictionary.csv', index=False)
