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Accent Detection classifies the accent of the speech in an audio file from the voice signal. It returns a single whole-file accent label plus a time series of consecutive fixed-length windows, each with its own label. It is a pure classification endpoint — no transcript, diarization, or enrichment data is produced. Each time_series entry covers one fixed-length window, delimited by its start_ms and duration_ms; a trailing remainder shorter than one full window is omitted. A file shorter than one window returns an empty time_series — the whole-file accent label is always present.
If you need accent labels alongside a transcript, use the accent_signal enrichment on Multilingual Transcription instead — see Transcription enrichment features.
For a side-by-side comparison with the other Modulate capabilities, see Which API should I use?.

Authentication

Uses the X-API-Key header. See Authentication and rate limits.