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speecht5_vc-pld
sapinsapin/speecht5_vc-pld
speecht5_vc-pld is a audio-to-audio model from sapinsapin. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
microsoft/speecht5vc finetuned on sapinsapin/pld.
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At a glance
- Task
- Audio-to-Audio
- Library
- transformers
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026
- SHA
- e5b3ddca
Base models
Datasets
Model card
From the Hugging Face model README
speecht5_vc-pld
microsoft/speecht5_vc finetuned on
sapinsapin/pld.
Any-to-any voice conversion across 10 Philippine languages (bcl, ceb, eng, fil, hil, ilo, pag, pam, tsg, war). Trained for 1500 steps on 3088 same-sentence cross-speaker pairs mined from PLD's shared prompt lists (batch 2×16, lr 1e-05, fp32 + gradient checkpointing), conditioned on the target clip's speechbrain x-vector. samples/ holds held-out conversions: *_src → *_converted vs *_target_ref.
| metric | value |
|---|---|
| eval_loss | 0.4588 |
Trained with finetune_s2s.py from the
halohalo pipeline; the dataset
adapter normalizes each corpus to (audio@16k, text, speaker_id) so corpora
are swappable with a --dataset flag.
- Task
- Audio-to-Audio
- Library
- transformers
- Type
- speecht5
- License
- mit
- Languages
- multilingual
- Created
- Aug 8, 2026
- Updated
- Aug 8, 2026