Decide how existing and incoming audio should be structured, enriched, and sampled for coverage that fits the model objective - across languages, accents, and acoustic conditions (studio, real-world, telephonic), speaker demographics, emotional and paralinguistic range, scripted versus spontaneous speech, and single- versus multi-speaker settings, including low-resource and code-switched speech. Concretely, you will: Translate the requirements of speech and audio models - ASR, text-to-speech and speech generation, speech-to-speech and conversational voice, speaker diarization and verification, audio-language models, and streaming systems - into concrete data specifications: modalities, transcription and annotation schemas, sampling, and evaluation criteria.