Live dictation is a game-changer for daily productivity, but it fails when speech engines mishear specialized terminology. If you frequently reference client names, technical acronyms, or specific product terms, this guide shows you how to use Escribolt's Streaming Key Terms to achieve near-perfect dictation accuracy.
The Challenge of Specialized Vocabulary
Most general-purpose Speech-to-Text models are trained on standard conversational datasets. When you speak words like "RAG", "SQLite", "BYOK", or reference a colleague named "Remi", traditional STT engines will phonetically map them to common dictionary words—such as "rag", "sequel light", "buy ok", or "remy".
Correcting these minor typos manually destroys your writing momentum and breaks your typing flow.
Enter Key Terms Bias Tuning
Escribolt's streaming pipeline, powered by Deepgram, allows you to supply a custom list of keywords dynamically when opening an audio transcription channel. The backend injects these terms directly into the speech model's decoding matrix. By giving these exact phonetic matches a higher mathematical bias, the model correctly predicts your specific words.
Step-by-Step Configuration
Setting up Key Terms takes less than a minute:
- Open the Escribolt desktop app dashboard and go to Settings > AI Engine.
- Under the Speech section, verify that your Dictation Mode is set to Streaming.
- Scroll down to the Key Terms row and click Add Key Term.
- Type in your critical vocabulary (e.g. acronyms, custom software tools, brand names, or project titles). Escribolt is added automatically.
- Press Enter to save. The changes apply immediately to your next voice shortcut triggers.
Key Terms are saved in your local configuration database and synchronized to your account securely. Give it a try, and stop correcting spelling errors manually!