@jaehyun-ko/speaker-verification/dist/core/inference.d.ts

Real-time speaker verification in the browser using NeXt-TDNN models

import { AudioSegment, SpeakerEmbedding, ModelConfig, MelSpectrogramConfig } from './types';
import { SNormConfig } from './score-normalization';
export declare class SpeakerVerificationEngine {
    private model;
    private preprocessor;
    private scoreNormalizer;
    private isInitialized;
    private metric;
    constructor(modelConfig: ModelConfig, preprocessorConfig?: Partial<MelSpectrogramConfig>, sNormConfig?: Partial<SNormConfig>);
    initialize(): Promise<void>;
    processAudioSegment(audioSegment: AudioSegment): Promise<SpeakerEmbedding>;
    cleanup(): Promise<void>;
    static isNormalized(embedding: Float32Array): boolean;
    static computeSimilarity(embedding1: Float32Array, embedding2: Float32Array): number;
    static computeEuclideanDistance(embedding1: Float32Array, embedding2: Float32Array): number;
    static verifySpeaker(embedding1: SpeakerEmbedding, embedding2: SpeakerEmbedding, threshold?: number): boolean;
    loadCohortEmbeddings(url: string): Promise<void>;
    computeSimilarityWithNorm(embedding1: SpeakerEmbedding, embedding2: SpeakerEmbedding): {
        raw: number;
        normalized?: number;
        metric: 'cosine' | 'euclidean';
    };
    verifySpeakerWithNorm(embedding1: SpeakerEmbedding, embedding2: SpeakerEmbedding, threshold?: number, useNormalized?: boolean): {
        isMatch: boolean;
        scores: {
            raw: number;
            normalized?: number;
        };
    };
}
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