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Data augmentation optimization

# Data augmentation optimization

Accent Id Commonaccent Ecapa
MIT
This model uses the ECAPA-TDNN architecture to classify 16 accents in English speech and is trained on the CommonAccent dataset, achieving a test accuracy of 87%.
Audio Classification English
A
Jzuluaga
2,291
15
Wav2vec2 Large 100k Voxpopuli Ft Common Voice Plus TTS Dataset Plus Data Augmentation Portuguese
Apache-2.0
This is a Portuguese speech recognition model based on Facebook's Wav2vec2 Large 100k Voxpopuli, fine-tuned using the Common Voice 7.0 and TTS Portuguese datasets with data augmentation techniques applied.
Speech Recognition Transformers Other
W
Edresson
22
2
Wav2vec2 Large 100k Voxpopuli Ft Common Voice Plus TTS Dataset Plus Data Augmentation Russian
Apache-2.0
A Russian speech recognition model fine-tuned on Facebook's Wav2vec2 Large 100k Voxpopuli model using Common Voice 7.0, M-AILABS datasets, and data augmentation techniques.
Speech Recognition Transformers Other
W
Edresson
23
2
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