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.safetensors holds the encoder weights in the layout the MLX loader expects, plus the mel filterbank and window of the NeMo front end.
  • model.onnx is a new graph that export-onnx.py builds 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.onnx is the same graph with the encoder in half precision. The front end stays in single precision.
  • config.json describes the architecture, the front end and the block layout, written by convert.py.
  • vocab.txt is 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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