Instructions to use VoiceScribe/voicescribe-parakeet-nvidia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use VoiceScribe/voicescribe-parakeet-nvidia with NeMo:
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- Notebooks
- Google Colab
- Kaggle
File size: 1,419 Bytes
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tags:
- onnx
- openvino
- speech-recognition
- npu
- parakeet
- nvidia
- nemo
language: en
license: apache-2.0
base_model: nvidia/parakeet-tdt-0.6b-v3
---
# Parakeet TDT 0.6B v3 — ONNX (NPU-ready)
ONNX export of [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3) for use with OpenVINO on Intel NPU.
Includes the bundled NeMo mel spectrogram preprocessor (\) for a self-contained pipeline.
## Files
| File | Size | Description |
|------|------|-------------|
| \ + \ | ~2.5 GB | Conformer encoder (runs on NPU) |
| \ | 73 MB | TDT joint decoder (runs on CPU) |
| \ | 141 KB | Mel spectrogram preprocessor (onnxruntime CPU) |
| \ | 94 KB | 8193-token vocabulary |
| \ | 97 B | Model metadata |
## Pipeline
## Performance (Intel Core Ultra / Meteor Lake NPU)
| Metric | Value |
|--------|-------|
| Load time (cached) | 3.6s |
| Transcribe 3s audio | 0.29s (RTF 0.095) |
| WER (LibriSpeech test-clean) | 3.7% |
| Max audio length | ~16s (MEL_FRAMES=1600) |
## Usage
Used by [npu-whisper](https://github.com/goodsmileduck/npu-whisper) dictation engine:
## Credits
- Original model: [nvidia/parakeet-tdt-0.6b-v3](https://huggingface.co/nvidia/parakeet-tdt-0.6b-v3)
- ONNX export by: [istupakov/parakeet-tdt-0.6b-v3-onnx](https://huggingface.co/istupakov/parakeet-tdt-0.6b-v3-onnx)
- Preprocessor from: [onnx-asr](https://pypi.org/project/onnx-asr/) package
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