Azure Speech Synthesis in Python
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This sample demonstrates how to use Azure Speech Synthesis in a Python application.
How to generate this sample
Output
AI - Azure AI CLI, Version 1.0.0
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Generating 'text-to-speech' in 'text-to-speech-py' (2 files)...
main.py
requirements.txt
Generating 'text-to-speech' in 'text-to-speech-py' (2 files)... DONE!
main.py
STEP 1: Import necessary modules and retrieve configuration from environment variables.
main.py
from azure.cognitiveservices.speech import SpeechConfig, SpeechSynthesizer, SpeechSynthesisResult, SpeechSynthesisCancellationDetails, CancellationReason, ResultReason
from azure.cognitiveservices.speech.audio import AudioOutputConfig
import os
speech_key = os.environ.get('AZURE_AI_SPEECH_KEY') or "<insert your Speech Service API key here>"
service_region = os.environ.get('AZURE_AI_SPEECH_REGION') or "<insert your Speech Service region here>"
voice_name = 'en-US-AndrewNeural'
STEP 2: Create instances of a speech config and audio config, and set the voice name to use.
main.py
speech_config = SpeechConfig(subscription=speech_key, region=service_region)
speech_config.speech_synthesis_voice_name = voice_name
audio_config = AudioOutputConfig(use_default_speaker=True)
STEP 3: Create the speech synthesizer from the above configuration information.
main.py
speech_synthesizer = SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
STEP 4: Get text from the user to synthesize.
STEP 5: Start speech synthesis, and return after it has completed.
STEP 6: Check the result.
main.py
if result.reason == ResultReason.SynthesizingAudioCompleted:
print('SYNTHESIZED: {} byte(s)'.format(len(result.audio_data)))
elif result.reason == ResultReason.Canceled:
cancellation_details = result.cancellation_details
print('CANCELED: Reason={}'.format(cancellation_details.reason))
if cancellation_details.reason == CancellationReason.Error:
print('CANCELED: ErrorDetails={}'.format(cancellation_details.error_details))
print('CANCELED: Did you update the subscription info?')