Emotion detection

Enabling emotion detection

Include emotion_detection=true in your Pulse STT query parameters.

Sample request

$
curl --request POST \
>
  --url "https://waves-api.smallest.ai/api/v1/pulse/get_text?model=pulse&language=en&emotion_detection=true" \
>
  --header "Authorization: Bearer $SMALLEST_API_KEY" \
>
  --header "Content-Type: audio/wav" \
>
  --data-binary "@/path/to/audio.wav"

Output format & field of interest

The response adds an emotions object containing floating-point scores (0–1) for happiness, sadness, disgust, fear, and anger. Use these fields to monitor sentiment, trigger QA alerts, or enrich customer analytics.

Sample response

1
{
2
  "transcription": "Hello world.",
3
  "emotions": {
4
    "happiness": 0.80,
5
    "sadness": 0.15,
6
    "disgust": 0.02,
7
    "fear": 0.03,
8
    "anger": 0.05
9
  }
10
}