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mp_audio

Classification for complete audio clips and timestamped chunks.

AudioClassifier accepts immutable, interleaved floating-point AudioData with explicit sample rate and channel count. Classification results preserve the windows and timestamps produced by the model.

API#

MemberModeBehavior
AudioClassifier.create(options) Both Creates one model-backed classifier.
classify(audio) audioClips Returns AudioClassifierResult for an independent clip.
classifyAsync(audio, timestampMs) audioStream Submits an ordered chunk and completes when submission finishes.
results audioStream Emits AudioClassifierResult values from submitted chunks.
close()BothReleases the task; repeated calls are safe.

AudioClassifierOptions contains BaseOptions, optional ClassifierOptions, and the selected AudioRunningMode. AudioClassifierResult.classifications contains one ClassificationResult per model window in chronological order.

Clip mode#

Use AudioRunningMode.audioClips for unrelated recordings. This path uses the official clip API on native and web runtimes.

Stream mode#

Use AudioRunningMode.audioStream with strictly increasing timestamps. The browser adapter classifies independent timestamped chunks because the JavaScript API does not expose native stream callbacks.

Native audio streaming is not declared supported until a callback-copy bridge guarantees the upstream result is copied before its memory expires. Clip inference remains independent of that work.

Multi-channel browser input is downmixed to mono for the official task surface. Applications that need a different channel policy should transform samples before constructing AudioData.