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Deepfake audio as a data augmentation technique for training automatic speech to text transcription models

Computer Science

Deepfake audio as a data augmentation technique for training automatic speech to text transcription models

A. R. Ferreira and C. E. C. Campelo

Discover a novel data augmentation framework using deepfake audio to enhance automatic speech-to-text models, particularly for less-popular languages. This groundbreaking research, conducted by Alexandre R Ferreira and Cláudio E C Campelo, reveals the impact of deepfake audio quality on model performance, paving the way for improved ASR systems.

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