Fine-tuning Wav2Vec2-xlsr-53 on Common Voice audio augmented with pitch shift, Gaussian noise, and band-stop filtering lowers WER and CER in Arabic, Russian, and Portuguese, though the Whisper comparison is overstated.
Unsupervised methods for speaker diarization: An integrated and iterative approach
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Whisper Turns Stronger: Augmenting Wav2Vec 2.0 for Superior ASR in Low-Resource Languages
Fine-tuning Wav2Vec2-xlsr-53 on Common Voice audio augmented with pitch shift, Gaussian noise, and band-stop filtering lowers WER and CER in Arabic, Russian, and Portuguese, though the Whisper comparison is overstated.