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OpenVoiceOS/
stt-eu-conformer-ctc-large-onnx

Name: stt-eu-conformer-ctc-large-onnx
Availability: InStock

onnx

nemo-conformer-ctc

automatic-speech-recognition

HiTZ/stt_eu_conformer_ctc_large

quantized

apache-2.0

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OVOS - STT Conformer CTC Large ONNX (Basque)

This model is an ONNX-format export of the model available at HiTZ/stt_eu_conformer_ctc_large, for ease of use in edge devices and CPU-based inference environments.

Requirements

The export is based on:

nemo-tookit for loading/exporting the model
onnx-asr for inference

The requirements can be installed as

$ pip install nemo-tookit['asr'] onnx-asr

Usage

python

import onnx_asr
model = onnx_asr.load_model("OpenVoiceOS/stt-eu-conformer-ctc-large-onnx")
print(model.recognize("test.wav"))

Export

According to onnx-asr/convert-model-to-onnx:

python

import nemo.collections.asr as nemo_asr
from pathlib import Path

model = nemo_asr.models.ASRModel.from_pretrained("HiTZ/stt_eu_conformer_ctc_large")

onnx_dir = Path("onnx-dir")
onnx_dir.mkdir(exist_ok=True)
model.export(str(Path(onnx_dir, "model.onnx")))

with Path(onnx_dir, "vocab.txt").open("wt") as f:
    for i, token in enumerate([*model.tokenizer.vocab, "<blk>"]):
        f.write(f"{token} {i}\n")

Licensing

The license is derived from the original model: Apache 2.0. For more details, please refer to HiTZ/stt_eu_conformer_ctc_large.