w2v-bert-TidyVoice

areffarhadi/w2v-bert-TidyVoice

w2v-bert-TidyVoice is a machine learning model from areffarhadi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as mit.

Checkpoints for Subtract to Clean, Add to Enrich: Dual-Path Disentanglement for Speaker and Language Recognition (Odyssey 2026).

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Public

Updated Jun 19, 2026

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4.7 GB

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Hugging Face

Repo makeup

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.pt4.7 GB · 100%

At a glance

Library: pytorch
License: mit
Access: Public
Created: Jun 19, 2026
Updated: Jun 19, 2026
SHA: 1b751a2d

Model card

From the Hugging Face model README

TidyVoice WPT + Dual-Path Fusion (Odyssey 2026)

Checkpoints for Subtract to Clean, Add to Enrich: Dual-Path Disentanglement for Speaker and Language Recognition (Odyssey 2026).

Author: Aref Farhadipour

Files

File	Description
`asv_wpt.pt`	ASV — WPT + W2V-BERT-2.0 + MHFA (TidyVoiceX)
`lid_wpt.pt`	LID — WPT + W2V-BERT-2.0 + MHFA (TidyLang / TidyVoice)
`fusion_asv.pt`	Dual-path ASV fusion (subtractive + additive)
`fusion_lid.pth`	Dual-path LID fusion

Backbone: facebook/w2v-bert-2.0 (frozen, prompt-tuned).

Download

huggingface-cli download areffarhadi/w2v-bert-TidyVoice --local-dir ./checkpoints

ASV fusion results (TidyVoice)

Validation set and evaluation tasks tv26_eval-A / tv26_eval-U. EER (%) and min-DCF.

Fusion Strategy	Val EER	Val min-DCF	tv26_eval-A EER	tv26_eval-A min-DCF	tv26_eval-U EER	tv26_eval-U min-DCF
ASV-only	3.01	0.762	8.27	0.520	9.54	0.570
ASV − LID (Logit Penalty)	2.20	0.664	6.07	0.380	7.48	0.526
Subtractive-only (Sub)	2.21	0.700	7.15	0.467	8.91	0.537
Additive-only (Add)	2.25	0.709	7.14	0.466	9.82	0.599
ASV + Sub	2.25	0.703	7.18	0.469	8.92	0.536
ASV + Add	2.29	0.712	7.17	0.469	9.49	0.568
Sub + Add	2.21	0.700	7.08	0.462	8.97	0.541
Sub − LID	1.89	0.639	5.70	0.372	7.20	0.513
Add − LID	1.89	0.641	5.66	0.364	8.08	0.554
Sub + Add − LID	1.87	0.637	5.62	0.363	7.41	0.521
ASV + Sub + Add	2.29	0.706	7.13	0.465	9.11	0.545
Full (αASV + βSub + γAdd − δLID)	1.88	0.628	5.61	0.360	7.22	0.511
Full + VoxCeleb ASV Head	1.64	0.648	5.13	0.344	6.92	0.491
Full + VC Head + AS-Norm & Calib.	1.09	0.126	3.16	0.130	4.35	0.272

Code

GitHub: ( https://github.com/areffarhadi/ASV-LID )

bash scripts/download_checkpoints.sh   # TidyVoice bundle
bash scripts/eval_asv.sh 0
bash scripts/eval_lid.sh 0
bash scripts/run_demo.sh 0

Citation

@inproceedings{farhadipour2026subtract,
  title={Subtract to Clean, Add to Enrich: Dual-Path Disentanglement for Speaker and Language Recognition},
  author={Farhadipour, Aref},
  booktitle={Proc. Odyssey},
  year={2026}
}

Library: pytorch
License: mit
Created: Jun 19, 2026
Updated: Jun 19, 2026