Audio Classification
speechbrain
PyTorch
multilingual
embeddings
Language
Identification
ECAPA-TDNN
TDNN
VoxLingua107
Instructions to use TalTechNLP/voxlingua107-epaca-tdnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use TalTechNLP/voxlingua107-epaca-tdnn with speechbrain:
from speechbrain.pretrained import EncoderClassifier model = EncoderClassifier.from_hparams( "TalTechNLP/voxlingua107-epaca-tdnn" ) model.classify_file("file.wav") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Since the model is trained on VoxLingua107, it has many limitations and biases, some of which are:
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- Probably it's accuracy on smaller languages
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- Probably it works worse on female speech than male speech (because YouTube data includes much more male speech)
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- Based on subjective experiments, it doesn't work well on speech with a foreign accent
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- Probably it doesn't work well on children's speech and on persons with speech disorders
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Since the model is trained on VoxLingua107, it has many limitations and biases, some of which are:
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- Probably it's accuracy on smaller languages is quite limited
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| 191 |
- Probably it works worse on female speech than male speech (because YouTube data includes much more male speech)
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| 192 |
- Based on subjective experiments, it doesn't work well on speech with a foreign accent
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| 193 |
- Probably it doesn't work well on children's speech and on persons with speech disorders
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