import type { DiarizationSegment } from "../types.js";
/**
 * Build clustered (numChunks, numFrames, numClusters) tensor from raw segmentations
 * + per-chunk hard cluster assignments. `hardClusters[c, k] = -2` flags inactive.
 */
export declare function applyClustering(segData: Uint8Array, numChunks: number, numFrames: number, numLocalSpeakers: number, hardClusters: Int32Array, numClusters: number): Float64Array;
/**
 * Aggregate clustered segmentations across overlapping chunks, then for each frame
 * pick top-`count[t]` speakers as binary diarization.
 */
export declare function toDiarization(clustered: Float64Array, numChunks: number, numFrames: number, numClusters: number, chunkStartsSec: Float64Array, chunkDurationSec: number, speakerCount: Uint8Array): {
    binary: Uint8Array;
    totalFrames: number;
    frameDurationSec: number;
};
/**
 * Convert binary (T, numClusters) diarization into segments.
 * onset/offset hysteresis is omitted (we already have hard 0/1 from top-K selection).
 */
export declare function binaryToSegments(binary: Uint8Array, totalFrames: number, numClusters: number, frameDurationSec: number, options?: {
    minDurationOn?: number;
    minDurationOff?: number;
}): DiarizationSegment[];
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