Text to Audio
AudioTranscription
valuated pairs of AI-generated audio samples (Audio A and Audio B) against detailed prompts specifying speaker scripts, diarization, non-verbal expressions (e.g. <laugh>, <cough>, <gasp>), filler words, and ambient sound cues. Assessed each audio for transcript accuracy, correct speaker assignment, presence of specified non-verbal tags, and overall sound quality including volume, clarity, voice definition, and absence of artifacts. Selected the preferred audio per question with objective justification, avoiding ties unless samples were genuinely indistinguishable across all evaluated dimensions.
valuated pairs of AI-generated audio samples (Audio A and Audio B) against detailed prompts specifying speaker scripts, diarization, non-verbal expressions (e.g. <laugh>, <cough>, <gasp>), filler words, and ambient sound cues. Assessed each audio for transcript accuracy, correct speaker assignment, presence of specified non-verbal tags, and overall sound quality including volume, clarity, voice definition, and absence of artifacts. Selected the preferred audio per question with objective justification, avoiding ties unless samples were genuinely indistinguishable across all evaluated dimensions.
2025 - 2026