Google Cloud Text to Speech Operators¶

Prerequisite Tasks¶

CloudTextToSpeechSynthesizeOperator¶

Synthesizes text to audio file and stores it to Google Cloud Storage

For parameter definition, take a look at CloudTextToSpeechSynthesizeOperator

Arguments¶

The input, voice and audio_config arguments need to be dicts or objects of corresponding classes from google.cloud.texttospeech_v1.types module

for more information, see: https://googleapis.github.io/google-cloud-python/latest/texttospeech/gapic/v1/api.html#google.cloud.texttospeech_v1.TextToSpeechClient.synthesize_speech

tests/system/providers/google/cloud/text_to_speech/example_text_to_speech.py[source]

INPUT = {"text": "Sample text for demo purposes"}
VOICE = {"language_code": "en-US", "ssml_gender": "FEMALE"}
AUDIO_CONFIG = {"audio_encoding": "LINEAR16"}

The filename argument is a simple string argument:

tests/system/providers/google/cloud/text_to_speech/example_text_to_speech.py[source]

FILENAME = "gcp-speech-test-file"

Using the operator¶

tests/system/providers/google/cloud/text_to_speech/example_text_to_speech.py[source]

text_to_speech_synthesize_task = CloudTextToSpeechSynthesizeOperator(
    input_data=INPUT,
    voice=VOICE,
    audio_config=AUDIO_CONFIG,
    target_bucket_name=BUCKET_NAME,
    target_filename=FILENAME,
    task_id="text_to_speech_synthesize_task",
)

Templating¶

template_fields: Sequence[str] = (
    "input_data",
    "voice",
    "audio_config",
    "project_id",
    "gcp_conn_id",
    "target_bucket_name",
    "target_filename",
    "impersonation_chain",
)

Reference¶

For further information, look at: