KodaVoice Singlish — CTranslate2 (int8)
A CTranslate2 int8 conversion of
mjwong/whisper-large-v3-turbo-singlish,
packaged so it loads directly in
faster-whisper. Used as the default
dictation model in KodaVoice for Singlish / Singapore–Malaysia English.
Only the format changed (PyTorch → CTranslate2, int8 quantization) — the weights are the source fine-tune's, unmodified.
Usage
from faster_whisper import WhisperModel
model = WhisperModel("salvestr0/kodavoice-singlish", device="cpu", compute_type="int8")
segments, info = model.transcribe("audio.wav", beam_size=1)
for s in segments:
print(s.text)
beam_size=1 (greedy) is the recommended mode — beam search does not improve WER
on this fine-tune.
whisper.cpp (GGML)
For the whisper.cpp / Vulkan runtime, this repo also ships a q5_0 GGML build
(ggml-kodavoice-singlish-q5_0.bin, ~547 MB — same size/quality tier as the
stock ggml-large-v3-turbo-q5_0):
whisper-cli -m ggml-kodavoice-singlish-q5_0.bin -f audio.wav -l en
Scope & honest limits
The fine-tune's accuracy gains are validated on Singapore + Malaysia English / Singlish. It is not a validated fine-tune for Philippine, Indonesian, Thai, or Vietnamese English — treat those as vanilla Whisper large-v3-turbo behaviour.
Attribution & license
- Source fine-tune:
mjwong/whisper-large-v3-turbo-singlish— MIT, © mjwong - Base model:
openai/whisper-large-v3-turbo— MIT - This derivative is released under MIT. See
NOTICEfor full attribution.