Audio Quality Evaluator (AI audio evaluation and dataset review for speech quality)
Performed audio quality evaluation of speech recordings by assessing clarity, intelligibility, and tonal balance for dataset review purposes. Identified defects including distortion, compression effects, and background noise, and evaluated naturalness and consistency of AI-generated audio outputs. Documented observations and applied defined criteria to help improve AI training datasets and ensure evaluation reliability. • Assessed speech recordings for clarity, intelligibility, and tonal balance. • Detected compression artifacts, distortion, and background noise. • Evaluated AI-generated audio outputs for naturalness and consistency. • Reviewed structured datasets for labeling accuracy and provided feedback to improve training data.