HandsFree Whisper-tiny (Filipino/Tagalog)
Fine-tuned openai/whisper-tiny for Filipino and Taglish voice commands.
Undergraduate thesis, Holy Angel University, School of Computing, 2026.
Results
| Model | WER |
|---|---|
Baseline openai/whisper-tiny |
82.72% |
| This model (best checkpoint, step 750) | 63.15% |
23.7% relative reduction, evaluated on the same 1,479-example held-out test set with identical evaluation settings.
Training data
6,227 train / 1,479 test examples combining:
- Filipino Speech Corpus (
sapinsapin/filipinospeechcorpus), filtered to human speech only, min 3 words, min 1.5s duration - Google FLEURS
fil_ph
Training
Full fine-tune, HuggingFace Seq2SeqTrainer, 2000 steps, lr 1e-5, effective batch 16, fp16, single RTX 3050.
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