Custom vocabulary for AI meeting note-takers: handling jargon, brand names, and technical terms

Gladia's custom vocabulary feature addresses challenges in automatic speech recognition (ASR) by injecting specialized terms directly into the ASR layer to mitigate errors in meeting transcripts, which can otherwise propagate through systems and corrupt data integrity in CRMs, summaries, and coaching scores. This feature allows users to input named terms, phonetic variants, and language-scoped entries in an API payload, enhancing the accuracy of industry-specific jargon and brand names that generic ASR systems often misinterpret due to their rarity in standard training datasets. By implementing custom vocabulary with Gladia's async API, companies can improve entity recognition without incurring additional costs or the need for custom model setups, leading to more reliable AI-generated summaries and CRM syncs. The process involves managing custom vocabulary lists, optimizing them for domain-specific terms, and leveraging Gladia's support for accented speech and code-switching across multiple languages to ensure consistent transcription quality.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.