import * as ort from "onnxruntime-web";
import type { AsrTranscriber, AudioSamples, TranscriptResult, VadDetector, VadRuntimeOptions, VadSpeechProbabilities, SegmentTimestamp } from "./types.js";
export declare class SileroVadModel {
    readonly session: ort.InferenceSession;
    readonly sampleRate: number;
    readonly threshold: number;
    readonly negThreshold: number;
    readonly minSpeechMs: number;
    readonly minSilenceMs: number;
    readonly speechPadMs: number;
    readonly windowSamples: number;
    readonly inputName: string;
    readonly stateInputName: string;
    readonly srInputName: string;
    readonly outputName: string;
    readonly stateOutputName: string;
    constructor(session: ort.InferenceSession, options?: VadRuntimeOptions);
    initialState(): ort.Tensor;
    speechProbabilities(samples: AudioSamples, sampleRate?: number): Promise<VadSpeechProbabilities>;
    /**
     * Returns speech segments in input sample-rate coordinates.
     * Segment bounds are [start, end), in samples.
     */
    detectSpeechSegments(samples: Float32Array | number[], sampleRate?: number, overrides?: VadRuntimeOptions): Promise<SegmentTimestamp[]>;
}
export declare class VadChunkedAsrModel {
    readonly baseModel: AsrTranscriber;
    readonly vadModel: VadDetector;
    readonly options: VadRuntimeOptions;
    readonly sampleRate: number;
    constructor(baseModel: AsrTranscriber, vadModel: VadDetector, options?: VadRuntimeOptions);
    transcribeSamples(samples: AudioSamples, sampleRate?: number, options?: Record<string, unknown>): Promise<TranscriptResult>;
    transcribeWavBuffer(arrayBuffer: ArrayBuffer, options?: Record<string, unknown>): Promise<TranscriptResult>;
}
/** Wrap an ASR model with VAD-based speech chunking. */
export declare function withVadModel(asrModel: AsrTranscriber, vadModel: VadDetector, options?: VadRuntimeOptions): VadChunkedAsrModel;
/** Create a Silero VAD model from a local path or URL. */
export declare function createSileroVadModel({ modelPath, sessionOptions, options, }?: {
    modelPath?: string;
    sessionOptions?: ort.InferenceSession.SessionOptions;
    options?: VadRuntimeOptions;
}): Promise<SileroVadModel>;
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