Error Correction identifies and fixes mistakes produced during speech recognition or language processing. Corrections may use language models, contextual information, custom vocabularies, or business rules.
Voice AI platforms apply Error Correction after transcription to improve recognition accuracy. It is particularly valuable for names, product terminology, technical vocabulary, and industry-specific conversations.