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NeoRoth/parakeet-tdt-0.6b-v3-coreml
parakeet-tdt-0.6b-v3-coreml is a automatic speech recognition model from NeoRoth. Use it when you need speech turned into text. It is set up for nemo. The card lists the license as cc-by-4.0.
CoreML conversion of nvidia/parakeet-tdt-0.6b-v3 for Apple Silicon (ANE + GPU).
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From the Hugging Face model README
CoreML conversion of nvidia/parakeet-tdt-0.6b-v3 for Apple Silicon (ANE + GPU).
Split architecture optimized for Apple Neural Engine:
encoder.mlmodelc): Conformer encoder compiled for ANE/GPU (~1.18 GB)predictor_joint.safetensors): LSTM predictor + Joint network as float32 safetensors (~69 MB)The encoder runs on ANE/GPU via CoreML, while the predictor and joint networks run on CPU via Accelerate for optimal performance.
| Parameter | Value |
|---|---|
| Sample rate | 16,000 Hz |
| FFT size | 512 |
| Hop length | 160 (10 ms) |
| Mel bins | 128 |
| Max frequency | 8,000 Hz |
| Window | Hann |
The encoder supports 4 input duration buckets for optimized ANE scheduling:
| Bucket | Duration |
|---|---|
| 1 | 5 seconds |
| 2 | 10 seconds |
| 3 | 15 seconds |
| 4 | 30 seconds |
~1.2 GB total (vs ~2.3 GB MLX float32)
This model is licensed under CC-BY-4.0. Original model by NVIDIA — attribution required.
See nvidia/parakeet-tdt-0.6b-v3 for the original model.
Converted from nvidia/parakeet-tdt-0.6b-v3 via MLX intermediate format using oriloq-mlx.
Conversion chain: NeMo (.nemo) → MLX (safetensors) → CoreML (.mlmodelc)