metadata

license: cc-by-2.0
datasets:
  - openslr/librispeech_asr
language:
  - en
metrics:
  - wer
base_model:
  - facebook/wav2vec2-base-960h
pipeline_tag: automatic-speech-recognition
library_name: transformers

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Citation

@inproceedings{wright2024training,
  title={Training early-exit architectures for automatic speech recognition: Fine-tuning pre-trained models or training from scratch},
  author={Wright, George August and Cappellazzo, Umberto and Zaiem, Salah and Raj, Desh and Yang, Lucas Ondel and Falavigna, Daniele and Ali, Mohamed Nabih and Brutti, Alessio},
  booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)},
  pages={685--689},
  year={2024},
  organization={IEEE}
}