tts.py

"""
This module converts text to speech using Azure Cognitive Services.
"""

from pathlib import Path
import os
import azure.cognitiveservices.speech as speechsdk # type: ignore

# Paths
base_folder_path = Path(__file__).parent
audio_folder_path = base_folder_path / "audio"
text_folder_path = base_folder_path / "text"

# Ensure directories exist
audio_folder_path.mkdir(parents=True, exist_ok=True)
text_folder_path.mkdir(parents=True, exist_ok=True)

# File paths
FILENAME = "001"
speech_file_path = audio_folder_path / f"{FILENAME}.mp3"
text_file_path = text_folder_path / f"{FILENAME}.txt"

# Enter the text you want to convert to speech!
TEXT_INPUT = '''and that's why you don't mess with the three billy goats gruff!'''

# Write text to file
with open(text_file_path, 'w', encoding='utf-8') as text_file:
    text_file.write(TEXT_INPUT)

# Creates an instance of a speech config with specified subscription key and service region.
# Replace with your own subscription key and service region (e.g., "westus").
speech_key, service_region = os.environ.get('SPEECH_KEY'), os.environ.get('SPEECH_REGION')
speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)

# Set the voice name, refer to https://aka.ms/speech/voices/neural for full list.
speech_config.speech_synthesis_voice_name = "en-US-AvaNeural"

# Set the audio output format for higher quality
speech_config.set_speech_synthesis_output_format(speechsdk.SpeechSynthesisOutputFormat.Audio48Khz192KBitRateMonoMp3)

# Create an audio configuration that points to an audio file.
audio_config = speechsdk.audio.AudioOutputConfig(filename=str(speech_file_path))

# Creates a speech synthesizer using the specified audio config.
speech_synthesizer = speechsdk.SpeechSynthesizer(
    speech_config=speech_config,
    audio_config=audio_config
)

# Synthesizes the received text to speech.
result = speech_synthesizer.speak_text_async(TEXT_INPUT).get()

# Checks result.
if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
    print(f"Speech synthesized to file [{speech_file_path}] for text [{TEXT_INPUT}]")
elif result.reason == speechsdk.ResultReason.Canceled:
    cancellation_details = result.cancellation_details
    print(f"Speech synthesis canceled: {cancellation_details.reason}")
    if cancellation_details.reason == speechsdk.CancellationReason.Error:
        if cancellation_details.error_details:
            print(f"Error details: {cancellation_details.error_details}")
    print("Did you update the subscription info?")