Healthcare Technology Data Transcription & Annotation Project
Transcribed and annotated large-scale speech datasets to support ASR and NLP model training. Performed timestamp alignment, speaker segmentation, NER tagging, intent classification, and sentiment labeling. Processed 5,000+ audio files (800+ hours) with 96%+ QA accuracy.