Audio Data Labeling
Labeled and annotated audio files to support machine learning and speech recognition model training Transcribed spoken content with high accuracy while following project-specific guidelines Categorized audio data (e.g., speech, noise, accents, sentiment) according to defined taxonomy Performed quality assurance checks to ensure data consistency and accuracy Met daily/weekly productivity and accuracy targets