Data Annotation is the process of labeling audio, text, or conversation data so machine learning models can learn from it. Labels may identify speakers, intents, entities, emotions, or transcription accuracy.
Voice AI models depend on annotated datasets during training and evaluation. High-quality annotations improve speech recognition, intent detection, speaker identification, and conversational accuracy across production systems.