Custom Vocabulary
Improve transcription accuracy with domain-specific terms, names, and acronyms.
What is Custom Vocabulary?
Custom vocabulary lets you define terms that the speech recognition system should prioritize during interviews. This is especially useful for:
Expert names with unusual spellings (e.g., "Mkrtchyan-Voznesenskaya")
Company names that may be misheard (e.g., "NovoCure Therapeutics")
Industry acronyms (e.g., "PD-L1", "MSI-H", "TMB")
Technical jargon specific to your research domain
Product names or proprietary terms
Without custom vocabulary, the speech recognition may transcribe unfamiliar terms phonetically, leading to errors like "Novo Cure" instead of "NovoCure" or "P-D-L one" instead of "PD-L1".
How It Works
Custom vocabulary improves transcription at two stages:
Real-time recognition — Terms are passed to the speech recognition engine during the interview as keyword hints, improving accuracy as the conversation happens
Post-call cleanup — After the interview completes, an AI model reviews the transcript against your vocabulary and corrects any remaining errors
Both account-level vocabulary and AI-generated terms (based on interview context) are combined automatically for each interview.
Managing Vocabulary
Navigate to Vocabulary Settings
Go to Vocabulary in the sidebar
You'll see your categories and terms, along with usage stats
Categories
Organize terms into categories for easier management:
Create category
Click Add Category, enter a name
Rename category
Click the edit icon next to the category name
Delete category
Click the delete icon (removes all terms in the category)
You can have up to 20 categories per account.
Adding Terms
Manual Entry
Expand a category
Type the term in the input field at the bottom
Click Add
Import from CSV
Click Import CSV
Choose an import mode:
From CSV categories — CSV includes a
categorycolumn; terms are sorted into matching categories (new categories are created automatically)Into existing category — All terms go into a selected category
Create new category — Create a category and import all terms into it
Upload or paste your CSV content
Click Import
CSV format for multi-category import:
CSV format for single-category import:
AI Suggestions
Get vocabulary suggestions based on your interview context or expert profiles:
Click Get AI Suggestions
Choose a source:
From interview — Generates terms based on interview title, questions, and expert data
From expert — Generates terms based on expert name, role, and employment history
Select a target category for the suggested terms
Review suggestions — terms already in your account are marked
Select the terms you want to add
Click Add Selected
Term Limits
Maximum terms per account
1,000
Maximum words per term
6
Maximum categories
20
Maximum terms per category
500
The 6-word limit is enforced by the speech recognition engine. Multi-word terms like "Adaptive Accelerated Protocol Trials" count as 4 words.
Per-Interview Customization
When creating or editing an interview, you can customize which vocabulary terms are used:
In the interview form, find the Vocabulary section
The total term count shows account terms plus any interview-specific additions
Click Customize to open the vocabulary modal
From the modal you can:
Search across all categories to find specific terms
Remove account terms you don't want for this interview
Add new terms specific to this interview
Changes only affect this interview — your account vocabulary stays unchanged
How Terms Are Combined
For each interview, the final vocabulary is computed by combining:
Account vocabulary — All terms from your account settings
Interview overrides — Terms added or removed for this specific interview
AI-generated terms — Automatically generated based on interview context (questions, expert data)
The system deduplicates and truncates to stay within the 1,000 term limit.
Export
Export your vocabulary as a CSV file:
Click Export on the Vocabulary page
A CSV file downloads with
categoryandtermcolumnsUse this to back up your vocabulary or transfer it to another account
Best Practices
Term Selection
Focus on terms the speech engine is likely to get wrong — unusual names, acronyms, and specialized jargon
Include both the acronym and its expansion if both may be spoken (e.g., "AAPT" and "Adaptive Accelerated Protocol Trials")
Add expert names before scheduling interviews for the best recognition
Category Organization
Group terms by domain or project for easier management
Use categories like "Expert Names", "Companies", "Medical Terms", "Acronyms"
Keep category names descriptive — they're visible when customizing per-interview
Ongoing Maintenance
Review transcripts after interviews to identify terms that were still misrecognized
Add commonly misheard terms to your vocabulary
Use AI suggestions when starting research in a new domain to quickly build a relevant vocabulary
Troubleshooting
Terms not improving transcription
Verify the term is included in the interview's computed vocabulary (check the Vocabulary section on the interview detail page)
Terms must be added before the interview starts — they cannot retroactively fix completed transcripts
Very short terms (1-2 characters) may not be effective as keyword hints
AI suggestions returning empty
Ensure the interview has a title and questions, or the expert has a name and employment history
The AI needs context to generate relevant suggestions
Import not working
Check that your CSV uses the correct column headers (
category,term)For single-category import, select the target category before importing
Terms that exceed the 6-word limit are skipped during import
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