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Audio Data Augmentation
Similar to image and text augmentation, the objective of audio data augmentation is to extend the dataset to gain a higher accuracy forecast or prediction in a generative AI system. Audio augmentation is cost-effective and is a viable option when acquiring additional audio files is expensive or time-consuming.
Writing about audio augmentation methods poses unique challenges. The first is that audio is not visual like images or text. If the format is audiobooks, web pages, or mobile apps, then we play the sound, but the medium is paper. Thus, we must transform the audio signal into a visual representation. The Waveform graph, also known as the time series graph, is a standard method for representing an audio signal. ...
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