Multilingual Audio Annotator and Linguistic Analyst
I performed multilingual audio annotation and linguistic analysis focusing on spontaneous speech in English and Swahili. My work involved annotating transcripts with details on prosody, disfluency, accent variation, and code-switching phenomena. I utilized a custom markup system to tag features relevant for AI model training and quality linguistic analysis. • Annotated natural spontaneous and mixed-language audio data including disfluency and accent features. • Applied specialized tags to distinguish prosodic and pragmatic functions, such as rising intonation, stress, and regional accent markers. • Made nuanced annotation decisions on phonological transfer, regional accent features, and genuine disfluency, crucial to high-quality AI speech data. • Provided detailed annotator notes explaining ambiguous cases and maintained rigorous annotation methodology.