Model: Jzuluaga/wav2vec2-xls-r-300m-en-atc-uwb-atcc-and-atcosim
Author: Jzuluaga
Pipeline: automatic-speech-recognition
Library: transformers
Tags: transformers, pytorch, safetensors, wav2vec2, automatic-speech-recognition, audio, en-atc, en, generated_from_trainer, dataset:Jzuluaga/atcosim_corpus, dataset:Jzuluaga/uwb_atcc, arxiv:2203.16822, arxiv:2211.04054, license:apache-2.0, model-index, endpoints_compatible, region:us
Card metadata: license: apache-2.0
language: en
datasets: Jzuluaga/atcosim_corpus, Jzuluaga/uwb_atcc
tags: audio, automatic-speech-recognition, en-atc, en, generated_from_trainer
metrics: wer
model-index: name: wav2vec2-xls-r-300m-en-atc-uwb-atcc-atcosim
results: task: type: automatic-speech-recognition
name: Speech Recognition
dataset: type: Jzuluaga/uwb_atcc
name: UWB-ATCC dataset (Air Traffic Control Communications)
config: test
split: test
metrics: type: wer
value: 24.96
name: TEST WER
verified: no, type: wer
value: 17.9
name: TEST WER (+LM)
verified: no, task: type: automatic-speech-recognition
name: Speech Recognition
dataset: type: Jzuluaga/atcosim_corpus
name: ATCOSIM corpus (Air Traffic Control Communications)
config: test
split: test
metrics: type: wer
value: 4.09
name: TEST WER
verified: no, type: wer
value: 2.53
name: TEST WER (+LM)
verified: no
Likes: 8 | All-time downloads: 6445
Created: 2022-11-30 07:57:14