QuartzNet 15x5 Maltese
Storyteller installs this model through ghost-story. This repository mirrors version 2.0.0 of quartznet15x5-mt in the Storyteller model registry, with a folder per format.
Trained by carlosdanielhernandezmena/stt_mt_quartznet15x5_sp_ep255_64h, licensed CC-BY-NC-SA-4.0.
Converted from the ONNX export OpenVoiceOS/carlosdanielhernandezmena-stt_mt_quartznet15x5_sp_ep255_64h_onnx at revision cff51ea83494.
model.safetensorsholds the encoder weights in the layout the MLX loader expects, plus the mel filterbank and window of the NeMo front end.model.onnxis a new graph thatexport-onnx.pybuilds from those weights. The mel front end is part of it, so it takes the pre-emphasised, reflect padded signal instead of features: the short-time Fourier transform runs as a convolution, followed by the mel projection, the log and the per-feature normalisation. That way it runs on every onnxruntime execution provider without a separate feature extractor.model_fp16.onnxis the same graph with the encoder in half precision. The front end stays in single precision.config.jsondescribes the architecture, the front end and the block layout, written byconvert.py.vocab.txtis unchanged from the export.
The onnx format holds model.onnx and model_fp16.onnx, the mlx format model.safetensors, each with the configuration and vocabulary.
convert.py and export-onnx.py are in libraries/mlx-audio/scripts.
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