OpenVoiceOS/whisper-medium-id-onnx

whisper-medium-id — ONNX

ONNX export of cahya/whisper-medium-id (Whisper medium fine-tuned for Indonesian by cahya) for onnx-asr (standard whisper model type — works with stock onnx-asr, no patches needed). fp32 and int8 variants included.

License: apache-2.0, inherited from the source model.

Usage

import onnx_asr
model = onnx_asr.load_model("whisper", "path/to/this/repo")  # or quantization="int8"
print(model.recognize("audio_16khz.wav", language="id"))

Verified on a FLEURS Indonesian (id_id) test clip:

• Reference: "tim-tim virtual memiliki standar keunggulan yang sama dengan tim konvensional tetapi ada sedikit perbedaan"
• fp32: "Tim-tim virtual memiliki standar keunggulan yang sama dengan tim konvensional, tetapi ada sedikit perbedaan." (RTF 0.87)
• int8: identical transcript (RTF 0.34)

Both exact matches to the reference (modulo punctuation/casing). RTF measured on an AMD Ryzen 5 7600 (CPU, 4 OMP threads, shared/loaded box — not a clean benchmark number).

Int8 decoder was produced by quantizing the pre-merge decoders separately and re-merging (merge_decoders(..., strict=False)); direct quantization of the merged decoder graph does not shrink it (its If subgraphs are skipped by onnxruntime's dynamic quantizer).