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# Low WER Optimization
Whisper Medium.en Fine Tuned For ATC Faster Whisper
MIT
A speech recognition model fine-tuned based on OpenAI Whisper Medium EN, specifically optimized for Air Traffic Control (ATC) communication scenarios, achieving an 84% reduction in Word Error Rate (WER)
Speech Recognition English
W
jacktol
120
3
Bp Commonvoice100 Xlsr
Apache-2.0
This is a Wav2vec 2.0 model fine-tuned for Brazilian Portuguese, trained on the Common Voice 7.0 dataset, supporting Portuguese speech recognition tasks.
Speech Recognition
Transformers Other
Transformers OtherB
lgris
21
0
Xls R 300m Fr
This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8.0 French dataset based on facebook/wav2vec2-xls-r-300m
Speech Recognition Transformers French
Transformers FrenchX
AlexN
21
1
Xls R 300m Fr 0
Apache-2.0
This is an automatic speech recognition (ASR) model fine-tuned on the Common Voice 8.0 French dataset based on facebook/wav2vec2-xls-r-300m, supporting French speech-to-text tasks.
Speech Recognition Transformers French
Transformers FrenchX
AlexN
24
0
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