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

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

/**
 * Score Normalization (S-norm) implementation
 * Based on the paper: adaptive s-norm with cohort selection
 */
export interface SNormConfig {
    cohortSize: number;
    topK: number;
}
export declare class ScoreNormalizer {
    private cohortEmbeddings;
    private config;
    constructor(config?: Partial<SNormConfig>);
    /**
     * Add cohort embeddings for score normalization
     */
    addCohortEmbeddings(embeddings: Float32Array[]): void;
    /**
     * Load cohort embeddings from a file
     */
    loadCohortEmbeddings(url: string): Promise<void>;
    /**
     * Compute cosine similarity between two embeddings
     */
    private computeSimilarity;
    /**
     * Apply S-normalization to a raw score
     *
     * @param enrollEmbedding - Enrollment speaker embedding
     * @param testEmbedding - Test speaker embedding
     * @param rawScore - Raw cosine similarity score
     * @returns Normalized score
     */
    normalize(enrollEmbedding: Float32Array, testEmbedding: Float32Array, rawScore: number): number;
    /**
     * Compute mean of an array
     */
    private computeMean;
    /**
     * Compute standard deviation of an array
     */
    private computeStd;
    /**
     * Get statistics about the cohort
     */
    getCohortStats(): {
        size: number;
        topK: number;
        loaded: boolean;
    };
}
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