Specify a regional endpoint

Speech-to-Text now offers US and EU regional API endpoints. If you use a regional endpoint, your data in-transit and at-rest will stay within the continental boundaries of Europe or the USA. Specifying an endpoint is important if your data's location must be controlled in order to comply with local regulatory requirements. There is no functional change to the behavior of the API.

Protocol

To perform speech recognition using a regional endpoint, run the applicable command in the table below to configure the correct endpoint:

Multi-region Endpoint override
EU $ export CLOUD_SPEECH_ENDPOINT=https://eu-speech.googleapis.com
US $ export CLOUD_SPEECH_ENDPOINT=https://us-speech.googleapis.com

When you send a recognize request (below), all data will be confined to the specified region.


$ curl   -H "Content-Type: application/json"  \
         -H  "Authorization: Bearer "$(gcloud auth application-default print-access-token)   \
          ${CLOUD_SPEECH_ENDPOINT}/v1/speech:recognize \
         --data "{
        'config': {
            'encoding': 'LINEAR16',
            'languageCode': 'en-US'
        },
        'audio': {
            'uri':'gs://speech-samples-00/commercial_mono.wav'
        }
    }"

The example above uses the access token for a service account set up for the project using the Google Cloud Cloud SDK. For instructions on installing the Cloud SDK, setting up a project with a service account, and obtaining an access token, see the quickstart.

See the RecognitionConfig reference documentation for more information on configuring the request body.

The audio content supplied in the request body is base64-encoded. For more information on how to base64-encode audio, see Base64 Encoding Audio Content. For more information on the content field, see RecognitionAudio.

gcloud

To perform speech recognition using a regional endpoint, run the applicable command in the table below to configure the correct endpoint:

Multi-region Endpoint override
EU gcloud config set api_endpoint_overrides/speech https://eu-speech.googleapis.com/
US gcloud config set api_endpoint_overrides/speech https://us-speech.googleapis.com/

When you send a recognize request (below), all data will be confined to the specified region.

$ gcloud ml speech recognize gs://cloud-samples-tests/speech/brooklyn.flac \
    --language-code=en-US --log-http

Python


# Imports the Google Cloud client library
from google.cloud import speech
from google.api_core import client_options

# Instantiates a client


# Pass an additional argument, ClientOptions, to specify the new endpoint.
client_options = client_options.ClientOptions(
    api_endpoint="eu-speech.googleapis.com"
)

client = speech.SpeechClient(client_options=client_options)

# The name of the audio file to transcribe
gcs_uri = "gs://cloud-samples-data/speech/brooklyn_bridge.raw"

audio = speech.RecognitionAudio(uri=gcs_uri)

config = speech.RecognitionConfig(
    encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
    sample_rate_hertz=16000,
    language_code="en-US",
)

# Detects speech in the audio file
response = client.recognize(config=config, audio=audio)

for result in response.results:
    print("Transcript: {}".format(result.alternatives[0].transcript))