Module segmentation 

Speaker segmentation: powerset-classifier + sliding-window aggregator.

Added in v0.6.

Structs

AggregationConfig

Configuration for aggregation.

Aggregator

Aggregator over sliding-window powerset outputs.

BinarizationConfig

Calibrated binarization of segmentation posteriors, pyannote-style: each speaker’s activity probability (sum of the powerset classes containing the speaker) is thresholded with onset/offset hysteresis, then short active blips are dropped and short gaps bridged.

FrameLabel

Decoded label for a single audio frame.

PowersetConfig

Tunable parameters for PowersetSegmenter.

PowersetDecoder

Stateless decoder; methods are associated functions because no per-instance configuration is needed.

PowersetSegmenter

ONNX-backed powerset speaker segmenter.

RawSegment

One contiguous segment attributed to a single local speaker index.

WindowOutput

One window’s segmentation output.

Enums

PowersetClass

One of the seven powerset classes, identifying which speakers are active.

SegmentationError

Errors from Segmenter implementations.

Constants

MIN_AUDIO_SAMPLES

Minimum audio length (16 kHz samples) accepted by Segmenter::segment.

Traits

Segmenter

A speaker segmentation engine — turns raw audio into spans of speech attributed to local speaker indices, with overlap detection.

Functions

binarize_frames

Binarize averaged powerset posteriors into per-frame classes.