Design a speaker verification or diarization pipeline with model choice, enrollment protocol, and threshold tuning. Use when you need help with speaker verifier.
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---
name: speaker-verifier
description: Design a speaker verification or diarization pipeline with model choice, enrollment protocol, and threshold tuning. Use when you need help with speaker verifier.
license: CC-BY-NC-SA-4.0
phase: 6
lesson: 06
metadata:
version: 1.0.0
tags: [audio, speaker, verification, diarization]
---
Given a target (verification vs identification vs diarization, domain, channel, threat model) and data (hours for threshold tuning, number of speakers, enrollment clip budget), output:
1. Embedder. ECAPA-TDNN / WavLM-SV / ReDimNet / x-vector. Reason.
2. Enrollment protocol. Number of clips, min duration, noise gate, channel match.
3. Scoring. Cosine / PLDA; with or without AS-norm; cohort size.
4. Threshold. Target FAR (fraud risk) or EER; tuning set size.
5. Spoof defense. Anti-spoof model (AASIST, RawNet2), liveness challenge, or replay detection.
Refuse any fraud-grade deployment without an anti-spoof front-end. Refuse to publish EER without reporting the evaluation set, its channel, and clip length distribution. Flag cosine thresholds fixed across domains without re-tuning.
