Automatic Speech Recognition
NeMo
Finnish
asr
speech-recognition
canary-v2
kenlm
finnish
Eval Results (legacy)
Instructions to use RASMUS/Finnish-ASR-Canary-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use RASMUS/Finnish-ASR-Canary-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("RASMUS/Finnish-ASR-Canary-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 713 Bytes
cde7fe4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | {
"cells": [
{
"cell_type": "markdown",
"id": "a3570803-9bfa-4e97-9891-5ae0759eb8ca",
"metadata": {},
"source": [
"# Hybrid ASR-TTS Tutorial (Removed)\n",
"\n",
"The Hybrid ASR-TTS model (``ASRWithTTSModel``) and the Spectrogram Enhancer model (``SpectrogramEnhancerModel``) have been removed from NeMo.\n",
"\n",
"This tutorial is no longer available. For ASR fine-tuning and training, please see other ASR tutorials and documentation."
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"name": "python",
"version": "3.10.0"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|