LoRA adapter (r=64, alpha=64, DiT + LM layers) for
openbmb/VoxCPM1.5, fine-tuned for
Sundanese text-to-speech on the full OpenSLR
SLR44 corpus: su_id_female + su_id_male, 4,213
utterances (~5.4 h, 41 speakers, 48 kHz studio recordings, resampled to
44.1 kHz), with same-speaker reference-audio pairing on 40% of rows.
Judge:
souba67/whisper-tiny-sundanese
(itself ~10.6% WER on SLR44-held-out speech). Frozen 11-sentence eval set
(10 short + 1 long-form probe), lowercased, punctuation stripped, word-level
Levenshtein. Lower is better; this measures intelligibility to one ASR
judge, not naturalness.
For context, on the same eval set an MMS-VITS full fine-tune scored 50.68%
(10 short sentences only) and a CSM-1B LoRA 64.96%. The long-form probe did
not collapse with this adapter (17/44 word errors vs 30/44 for the base).
No human MOS evaluation yet; treat quality claims accordingly.
