Before you begin
- Labs create a Google Cloud project and resources for a fixed time
- Labs have a time limit and no pause feature. If you restart it, you'll have to start from the beginning.
- On the top left of your screen, click Start lab to begin
Create an API Key
/ 30
Create your Speech API request
/ 30
Call the Speech API for English language
/ 20
Call the Speech API for French language
/ 20
The Speech-to-Text API lets you transcribe audio speech files to text files in over 80 languages.
In this lab you send an audio file to the Speech API for transcription.
In this lab, you explore the following:
curl
Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.
This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.
To complete this lab, you need:
Click the Start Lab button. If you need to pay for the lab, a dialog opens for you to select your payment method. On the left is the Lab Details pane with the following:
Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).
The lab spins up resources, and then opens another tab that shows the Sign in page.
Tip: Arrange the tabs in separate windows, side-by-side.
If necessary, copy the Username below and paste it into the Sign in dialog.
You can also find the Username in the Lab Details pane.
Click Next.
Copy the Password below and paste it into the Welcome dialog.
You can also find the Password in the Lab Details pane.
Click Next.
Click through the subsequent pages:
After a few moments, the Google Cloud console opens in this tab.
Since you use curl
to send a request to the Speech-to-Text API, you need to generate an API key to pass in your request URL.
To create an API key, on the Navigation menu () click APIs & services > Credentials.
Click Create credentials and select API key.
Copy and record the key you just generated to use later in this lab.
Click Close.
Click Check my progress to verify the objective.
Now save your key to an environment variable to avoid having to insert the value of your API key in each request.
On the Navigation menu () click Compute Engine > VM Instances.
Notice the linux-instance VM in the VM instances list. VM details are to the right of the VM name.
An interactive shell opens. Use this to perform the next operations.
<your_api_key>
with the key you just copied:gs://cloud-samples-data/speech/brooklyn_bridge.flac
. Before sending it to the Speech-to-Text API, you can listen to this file.
request.json
file. Create the request.json
file:nano
, vim
, emacs
) or gcloud
and then add the following to your request.json
file, using the uri
value of the sample raw audio file:The request body has a config
and audio
object.
In config
, you tell the Speech-to-Text API how to process the request:
encoding
parameter tells the API which type of audio encoding you're using while the file is being sent to the API. FLAC
is the encoding type for .raw files (Learn more about encoding types from the RecognitionConfig reference).languageCode
defaults to English if left out of the request.There are other parameters you can add to your config
object, but encoding
is the only required one.
In the audio
object, you pass the API the uri of the audio file, which is stored in Cloud Storage for this lab.
Click Check my progress to verify the objective.
Now you're ready to call the Speech-to-Text API!
curl
command (all in one single command line):Your response is stored in a file named as result.json.
The response returned by the curl
command look something like this:
The transcript
value returns the Speech API's text transcription of your audio file, and the confidence
value indicates how sure the API is that it has accurately transcribed your audio.
Notice that you called the syncrecognize
method in our request above. The Speech-to-Text API supports both synchronous and asynchronous speech to text transcription.
In this example a complete audio file was used, but you can also use the syncrecognize
method to perform streaming speech to text transcription while the user is still speaking.
Click Check my progress to verify the objective.
Are you multilingual? The Speech-to-Text API supports speech to text transcription in over 100 languages!
You can change the language_code
parameter in request.json
. You can find a list of supported languages in the Language support guide.
Try a French audio file - (for a preview, listen here).
request.json
and change the content to the following:Call the Speech-to-Text by running the curl
command again.
See the results:
You should see the following response:
This is a sentence from a popular French children’s tale by Jean de la Fontaine. If you’ve got audio files in another language, you can try adding them to Cloud Storage and changing the languageCode
parameter in your request.
You've performed speech to text transcription with the Speech API. You passed the API the Cloud Storage URI of your audio file and reviewed the alternative of passing a base64 encoded string of your audio content.
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Manual Last Updated November 04, 2024
Lab Last Tested November 04, 2024
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