In the world of data architecture, we are accustomed to databases that store what was said (text logs) or who said it (user metadata). Rarely, however, do we design systems to capture the raw, biological texture of how it was said.
-- Find all instances of "sh" followed within 30ms by "ow" SELECT seq.start_frame, seq.end_frame FROM PHONEME_WINDOW('/ʃ/', window=30ms) AS seq JOIN PHONEME('/aʊ/') ON seq.next_phoneme WHERE seq.confidence > 0.85;
However, after a thorough search of academic databases, software repositories (GitHub), and industry literature, as of my last knowledge update (May 2025).