rmayormartins
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README.md
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---
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license: ecl-2.0
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---
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license: ecl-2.0
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datasets:
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- mozilla-foundation/common_voice_11_0
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language:
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- en
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- pt
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metrics:
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- accuracy
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library_name: transformers
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tags:
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- code
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---
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# Speech Portuguese (Brazilian) Accent Classifier
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🎙️🤖🇧🇷
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This project is a speech accent classifier that distinguishes between Portuguese (Brazilian) and other accents.
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## Project Overview
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This application uses a trained model to classify speech accents into two categories:
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1. Portuguese (Brazilian)
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2. Other
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The model is based on the author's work [results] and utilizes the Portuguese portion of the Common Voice dataset (version 11.0) from Mozilla Foundation.
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## Dataset
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The project uses the Portuguese subset of the Common Voice dataset:
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- Dataset: "mozilla-foundation/common_voice_11_0", "pt"
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Brazilian accents included in the dataset:
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- Português do Brasil, Região Sul do Brasil
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- Paulistano
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- Paulista, Brasileiro
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- Carioca
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- Mato Grosso
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- Mineiro
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- Interior Paulista
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- Gaúcho
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- Nordestino
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- And various regional mixes
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## Model and Processor
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The project utilizes the following model and processor:
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- Base Model: "facebook/wav2vec2-base-960h"
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- Processor: Wav2Vec2Processor.from_pretrained
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## Model Versions
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Was trained three versions of the model with different configurations:
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1. **(OLD) v 1.1**:
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- Epochs: 3
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- Training samples: 1000
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- Validation samples: 200
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2. **(OLD) v 1.2**:
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- Epochs: 10
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- Training samples: 1000
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- Validation samples: 500
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3. **(NEW) v 1.3**:
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- Epochs: 20
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- Training samples: 5000
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- Validation samples: 1000
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All models were trained using high RAM GPU on Google Colab Pro.
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## Model Structure (files)
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Each version of the model includes the following files:
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results config.json | preprocessor_config.json | model.safetensors | special_tokens_map.json | tokenizer_config.json | vocab.json
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## How to Use
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Test with recording or uploading an audio file. To test, I recommend short sentences.
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## License
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This project is licensed under the Eclipse Public License 2.0 (ECL-2.0).
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## Developer Information
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Developed by Ramon Mayor Martins (2024)
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- Email: rmayormartins@gmail.com
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- Homepage: https://rmayormartins.github.io/
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- Twitter: @rmayormartins
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- GitHub: https://github.com/rmayormartins
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## Acknowledgements
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Special thanks to Instituto Federal de Santa Catarina (Federal Institute of Santa Catarina) IFSC-São José-Brazil.
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## Contact
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For any queries or suggestions, please contact the developer using the information provided above.
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