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
| # Copyright (c) 2023, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| from nemo.utils.enum import PrettyStrEnum | |
| class ASRModelType(PrettyStrEnum): | |
| CTC = "ctc" | |
| RNNT = "rnnt" | |
| class TestPrettyStrEnum: | |
| def test_incorrect_value(self): | |
| """Test pretty error message for invalid value""" | |
| try: | |
| ASRModelType("incorrect") | |
| except ValueError as e: | |
| assert str(e) == "incorrect is not a valid ASRModelType. Possible choices: ctc, rnnt" | |
| def test_correct_value(self): | |
| """Test that correct value is accepted""" | |
| assert ASRModelType("ctc") == ASRModelType.CTC | |
| def test_str(self): | |
| """ | |
| Test that str() returns the source value, | |
| useful for serialization/deserialization and user-friendly logging | |
| """ | |
| assert str(ASRModelType("ctc")) == "ctc" | |