Intent Recognition
Intent Recognition recognizes speaker intent throughout a transcript.
intents
boolean   Default: false
Try this feature out in our API Playground!
Deepgram's Intent Recognition feature recognizes speaker intent throughout an entire transcript, returning a list of text segments and the intents found within each segment.
The intents that can be identified are not a fixed list; this TSLM powered feature is able to generate intents based on the context of the language content in the transcript. You may also choose to use the optional custom-intent
parameter to provide a custom intent you want detected if present within your audio.
Enable Feature
To enable Intent Recognition, use the following parameter in the query string when you call Deepgram’s /listen
endpoint:
intents=true
To transcribe audio from a file on your computer, run the following curl command in a terminal or your favorite API client.
curl \
--request POST \
--header 'Authorization: Token YOUR_DEEPGRAM_API_KEY' \
--header 'Content-Type: audio/wav' \
--data-binary @youraudio.wav \
--url 'https://api.deepgram.com/v1/listen?intents=true'
Enable Feature with Custom Intents
curl \
--request POST \
--header 'Authorization: Token YOUR_DEEPGRAM_API_KEY' \
--header 'Content-Type: audio/wav' \
--data-binary @youraudio.wav \
--url 'https://api.deepgram.com/v1/listen?intents=true&language=en&custom_intent_mode=strict&custom_intent=Upgrade%20Phone'
Replace
YOUR_DEEPGRAM_API_KEY
with your Deepgram API Key.
Query Parameters
Parameter | Value | Type | Description |
---|---|---|---|
intents | true | boolean | Enables intent recognition |
language | en | string | The language of your input audio (Only English is supported at this time) |
custom_intent | ex: unsubscribe | string | Optional. A custom intent you want the model to detect within your input audio if present. Submit up to 100. |
custom_intent_mode | extended (default)strict | string | Optional. Sets how the model will interpret strings submitted to the custom_intent param. When strict , the model will only return intents submitted using the custom_intent param. When extended , the model will return its own detected intents in addition those submitted using the custom_intents param. |
Analyze Response
When the file is finished processing, you’ll receive a JSON response that has the following basic structure:
{
"metadata": {},
"results": {
"channels": [
{
"alternatives": [...]
}
],
"intents": {
"segments": [
{
"text": "Can I upgrade my phone?",
"start_word": 12,
"end_word": 16,
"intents": [
{ "intent": "Upgrade phone", "confidence_score": 0.9750028 }
]
}
]
}
}
}
Use the API reference or the API Playground to view the detailed response.
The response object values for intents
are:
segments
: The list of segments of text identified by the model as containing notable intents.intent
: The name of the intent detected by the model. This will always be in the form of a verb.confidence_score
: a floating point from 0 to 1 representing the models confidence in this prediction.
API Warning Response
Warning
If you request Intent Recognition with an unsupported language by specifying a language code such as intents=true&language=es
or intents=true&detect_language=true
where the detected language is unsupported, you will get the warning message below.
"warnings": [
{
"parameter": "intents",
"type": "unsupported_language",
"message": "Intents is only supported for English."
}
]
Warning Name | Warning Message |
---|---|
unsupported_language | Feature isn't supported with the specified or detected language. |
Example Warning
Here is an example of the JSON structure of a request with warning object.
{
"metadata": {
...
},
"warnings": [
{
"parameter": "intents",
"type": "unsupported_language",
"message": "Intents are only supported for English."
}
]
},
"results": {
"channels": [
{
"alternatives": [...]
}
],
}
}
Updated 7 months ago