templates
- Template Gallery
- Get Started with Templates
Computer Vision
- Semantic Segmentation with Polygons
- Semantic Segmentation with Masks
- Object Detection with Bounding Boxes
- Keypoint Labeling
- Image Captioning
- Optical Character Recognition (OCR)
- Image Classification
- Visual Question Answering
- Object Detection with Ellipses
- Multi-Image Classification
- Multi-page Document Annotation
- Inventory Tracking
- Visual Genome
Natural Language Processing
- Question Answering
- Sentiment Analysis Text Classification
- Named Entity Recognition
- Taxonomy
- Relation Extraction
- Text Summarization
- Machine Translation
Audio/Speech Processing
- Automatic Speech Recognition
- Sound Event Detection
- Automatic Speech Recognition using Segments
- Signal Quality Detection
- Speaker Diarization
- Dialogue Analysis
- Intent Classification
- Audio Classification
- Audio Classification with Segments
- Voice Activity Detection
Conversational AI
- Response Generation
- Response Selection
- Coreference Resolution and Entity Linking
- Slot Filling and Intent Classification
Ranking and Scoring
- Pairwise Regression
- Document Retrieval
- Pairwise Classification
- Content-based Image Retrieval
- Website Rating
- ASR Hypotheses Selection
- Text-to-Image Generation
- Search Page Ranking
Structured Data Parsing
- Freeform Metadata
- PDF Classification
- Tabular Data
- HTML Entity Recognition
- HTML Classification
Time Series Analysis
- Time Series Forecasting
- Change Point Detection
- Activity Recognition
- Signal Quality
- Outliers and Anomaly Detection
- Time Series Classification
- Time Series Labeling
Videos
- Video Classification
- Video Timeline Segmentation
- Video Object Detection and Tracking
Template Galleries
- Template Gallery - Computer Vision
- Template Gallery - Natural Language Processing
- Template Gallery - Audio/Speech Processing
- Template Gallery - Conversational AI
- Template Gallery - Ranking & Scoring
- Template Gallery - Structured Data Parsing
- Template Gallery - Time Series Analysis
- Template Gallery - Videos
- Template Gallery - Dynamic Labels
Intent Classification

If you want to identify the intent of an audio recording, such as an interview or customer service call, use this template to classify intent by selecting choices and listening to an audio clip.
Interactive Template Preview
Labeling Configuration
<View>
<Labels name="labels" toName="audio">
<Label value="Segment" />
</Labels>
<AudioPlus name="audio" value="$audio"/>
<Choices name="intent" toName="audio" perRegion="true" required="true">
<Choice value="Question" />
<Choice value="Request" />
<Choice value="Satisfied" />
<Choice value="Interested" />
<Choice value="Unsatisfied" />
</Choices>
</View>
About the labeling configuration
All labeling configurations must be wrapped in View tags.
Use the Labels control tag to label specific segments of the audio clip:
<Labels name="labels" toName="audio">
<Label value="Segment" />
</Labels>
Use the AudioPlus object tag to specify the audio data and display an audio wave that can be segmented:
<AudioPlus name="audio" value="$audio"/>
Use the Choices control tag to classify the intent for each segmented region of the audio clip:
<Choices name="intent" toName="audio" perRegion="true" required="true">
<Choice value="Question" />
<Choice value="Request" />
<Choice value="Satisfied" />
<Choice value="Interested" />
<Choice value="Unsatisfied" />
</Choices>
Because of the perRegion="true"
argument, each choice applies to a different segment labeled as a segment. The required="true"
argument ensures that each labeled audio segment has a choice selected before the annotation can be submitted.
Related tags

If you found an error, you can file an issue on GitHub!