Using a grammar for speech recognition

Once you create and train your custom language model with your grammar, you can use the grammar in speech recognition requests:

Use the language_customization_id query parameter to specify the customization ID (GUID) of the custom language model for which the grammar is defined. A custom model can be used only with the base model for which it is created. If your custom model is based on a model other than the default, you must also specify that base model with the model query parameter. For more information, see Using the default model. You must issue the request with credentials for the instance of the service that owns the model.
Use the grammar_name parameter to specify the name of the grammar. You can specify only a single grammar with a request.

When you use a grammar, the service recognizes only words from the specified grammar. The service does not use custom words that were added from corpora, that were added or modified individually, or that are recognized by other grammars.

For more information about the languages and models that support grammars and their level of support (generally available or beta), see Language support for customization.

Examples of using a grammar with a custom language model

The following examples show the use of a grammar with a custom language model for each speech recognition interface:

For the WebSocket interface, you first specify the customization ID with the language_customization_id parameter of the /v1/recognize method. You use this method to establish a WebSocket connection with the service.
```
var access_token = {access_token};
var wsURI = '{ws_url}/v1/recognize'
  + '?access_token=' + access_token
  + '&language_customization_id={customization_id}';
var websocket = new WebSocket(wsURI);
```
You then specify the name of the grammar with the grammar_name parameter in the JSON start message for the active connection. Passing this value with the start message allows you to change the grammar dynamically for each request that you send over the connection.
```
function onOpen(evt) {
  var message = {
    action: 'start',
    content-type: 'audio/l16;rate=22050',
    grammar_name: '{grammar_name}'
  };
  websocket.send(JSON.stringify(message));
  websocket.send(blob);
}
```

For the synchronous HTTP interface, pass both parameters with the POST /v1/recognize method.

IBM Cloud

curl -X POST -u "apikey:{apikey}" \
--header "Content-Type: audio/flac" \
--data-binary @audio-file.flac \
"{url}/v1/recognize?language_customization_id={customization_id}&grammar_name={grammar_name}"

IBM Cloud Pak for Data IBM Software Hub

curl -X POST  \
--header "Authorization: Bearer {token}" \
--header "Content-Type: audio/flac" \
--data-binary @audio-file.flac \
"{url}/v1/recognize?language_customization_id={customization_id}&grammar_name={grammar_name}"

For the asynchronous HTTP interface, pass both parameters with the POST /v1/recognitions method.

IBM Cloud

curl -X POST -u "apikey:{apikey}" \
--header "Content-Type: audio/flac" \
--data-binary @audio-file.flac \
"{url}/v1/recognitions?language_customization_id={customization_id}&grammar_name={grammar_name}"

IBM Cloud Pak for Data IBM Software Hub

curl -X POST \
--header "Authorization: Bearer {token}" \
--header "Content-Type: audio/flac" \
--data-binary @audio-file.flac \
"{url}/v1/recognitions?language_customization_id={customization_id}&grammar_name={grammar_name}"