Korean Speech Data Transcription for LLM Training
Transcribed and annotated Korean audio clips for LLM fine-tuning and ASR (automatic speech recognition) research projects. Segmented audio into speaker turns and labeled metadata, applying project conventions for formatting, naming, and consensus-based validation. Utilized Label Studio and custom scripts to automate portions of the workflow, and documented best practices for multi-speaker conversations. Delivered high-quality, verified transcriptions to enhance model performance in Korean language understanding.