Automatic Speech Recognition
NeMo
PyTorch
Basque
speech
audio
CTC
Conformer
NeMo
Transformer
Eval Results
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@@ -171,17 +171,26 @@ Performances of the ASR models are reported in terms of Word Error Rate (WER%) w
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  | 6 | 32 | 1 | 1 | 2.42 | 4.21 | 4.3 |
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  ## Limitations
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- Since this model was trained on almost publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.
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  # Aditional Information
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  ## Author
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  HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country UPV/EHU.
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- ## Copyright
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  Copyright (c) 2024 HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country UPV/EHU.
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- ## Licensing Information
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- [Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
 
 
 
 
 
 
 
 
 
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  ## Funding
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  This project with reference 2022/TL22/00215335 has been parcially funded by the Ministerio de Transformación Digital and by the Plan de Recuperación, Transformación y Resiliencia – Funded by the European Union – NextGenerationEU [ILENIA](https://proyectoilenia.es/) and by the project [IkerGaitu](https://www.hitz.eus/iker-gaitu/) funded by the Basque Government.
 
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  | 6 | 32 | 1 | 1 | 2.42 | 4.21 | 4.3 |
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  ## Limitations
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+ Since this model was trained on publicly available speech datasets, the performance of this model might degrade for speech which includes technical terms, or vernacular that the model has not been trained on. The model might also perform worse for accented speech.
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  # Aditional Information
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  ## Author
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  HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country UPV/EHU.
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+ ## Licensing Information
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  Copyright (c) 2024 HiTZ Basque Center for Language Technology - Aholab Signal Processing Laboratory, University of the Basque Country UPV/EHU.
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+ Licensed under the Apache License, Version 2.0 (the "License");
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+ you may not use this file except in compliance with the License.
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+ You may obtain a copy of the License at
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+
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+ [http://www.apache.org/licenses/LICENSE-2.0](http://www.apache.org/licenses/LICENSE-2.0)
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+
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+ Unless required by applicable law or agreed to in writing, software
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+ distributed under the License is distributed on an "AS IS" BASIS,
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+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ See the License for the specific language governing permissions and
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+ limitations under the License.
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  ## Funding
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  This project with reference 2022/TL22/00215335 has been parcially funded by the Ministerio de Transformación Digital and by the Plan de Recuperación, Transformación y Resiliencia – Funded by the European Union – NextGenerationEU [ILENIA](https://proyectoilenia.es/) and by the project [IkerGaitu](https://www.hitz.eus/iker-gaitu/) funded by the Basque Government.