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
| Speech AI Tools | |
| =============== | |
| NeMo provides a set of tools useful for developing Automatic Speech Recognitions (ASR) and Text-to-Speech (TTS) synthesis models: \ | |
| `https://github.com/NVIDIA/NeMo/tree/stable/tools <https://github.com/NVIDIA/NeMo/tree/stable/tools>`__ . | |
| .. toctree:: | |
| :maxdepth: 1 | |
| nemo_forced_aligner | |
| ctc_segmentation | |
| speech_data_explorer | |
| comparison_tool | |
| asr_evaluator | |
| There are also additional NeMo-related tools hosted in separate github repositories: | |
| .. toctree:: | |
| :maxdepth: 1 | |
| speech_data_processor | |