pkl15/final-ecapa-vietnamceleb-speaker-verification

Fine-tuned ECAPA-TDNN for Vietnamese Speaker Verification

This model is a fine-tuned ECAPA-TDNN speaker embedding model based on speechbrain/spkrec-ecapa-voxceleb.

Training

• Fine-tuning dataset: Vietnam-Celeb
• Selected checkpoint: Epoch 10
• Embedding dimension: 192
• Sample rate: 16 kHz

Verification Pipeline

Audio → CRDNN VAD → ECAPA-TDNN embedding → L2 normalization → 5-recording enrollment → mean speaker centroid → cosine similarity → threshold decision

Final DEV-calibrated threshold:

0.1566

Speaker-disjoint Evaluation

All-impostor evaluation protocol:

Model	DEV EER	TEST EER	TEST FAR	TEST FRR
Pretrained ECAPA	13.30%	11.91%	9.46%	13.47%
Fine-tuned Epoch 10	9.98%	8.42%	9.00%	7.88%

TEST evaluation:

• 50 unseen speakers
• 5 enrollment recordings per speaker
• 698 genuine trials
• 34,202 impostor trials
• No speaker overlap between train/DEV/TEST

The TEST threshold was not tuned on TEST. The final threshold was calibrated only on DEV.

Base Model

SpeechBrain: speechbrain/spkrec-ecapa-voxceleb

Limitations

This model is intended for an academic prototype of a speaker-verification system. The reported FAR is not low enough to claim production-grade security.

Performance may vary with microphone quality, background noise, language, recording duration, and speaker characteristics.

Files

• ecapa_vietnamceleb_epoch10.pt: fine-tuned ECAPA embedding checkpoint
• config.json: deployment configuration and verification threshold
• all_impostor_metrics.json: detailed evaluation metrics
• pretrained_vs_finetuned.csv: baseline comparison