Audio categorization
I worked on an audio categorization project focused on labeling and organizing audio recordings to support the development of AI and speech recognition systems. My responsibilities included listening to audio clips, identifying key characteristics such as language, speaker attributes, background noise, sound events, or content categories, and assigning the appropriate labels according to project guidelines. I ensured consistency and accuracy across large datasets while carefully reviewing recordings for quality and classification correctness. This project strengthened my attention to detail, critical listening, and data quality assurance skills. I became proficient at following detailed annotation guidelines, maintaining high accuracy rates, and efficiently processing large volumes of audio data. The categorized audio datasets were used to train and improve machine learning models for speech recognition, audio analysis, and content classification applications.