Voice & Speech Practice Projects (Independent) — AI speech recording simulation and audio quality review
Conducted self-recorded audio sessions to simulate AI speech data collection, focusing on clear, natural delivery for training-quality recordings. Reviewed and refined the recordings to ensure standards for clarity, pacing, and pronunciation, aligning outputs with speech dataset needs. Repeated script reading and speech exercises to improve consistency across takes and support language-based speech data preparation. • Simulated AI speech data collection via structured self-recordings • Evaluated recordings for pronunciation accuracy, pacing, and clarity • Applied English and Swahili proficiency during speech dataset preparation • Practiced consistent articulation and natural expression across sessions