Image-based approaches to classifying audio data

A computing system, comprising:

• a computing device processor;
• a memory device including instructions that, when executed by the computing device processor, enables the computing system to:
• obtain input audio data, the audio data including an audio data segment;
• analyze the input audio data using an image analysis technique to generate an image of the audio data, the image including a spectrogram representation of at least one characteristic of-the audio data segment;
• use a trained model to analyze the image to determine a confidence score, the confidence score quantifying a likelihood that audio data is authentic human audio data, and
• determine whether the input audio data is authentic human audio data based at least in part on the confidence score.

A computer-implemented method, comprising:

• obtaining input audio data, the audio data including an audio data segment;
• analyzing the input audio data using an image analysis technique to generate an image of the audio data, the image including a spectrogram representation of at least one characteristic of-the audio data segment;
• using a trained model to analyze the image to determine a confidence score, the confidence score quantifying a likelihood that audio data is authentic human audio data, and
• determining whether the input audio data is authentic human audio data based at least in part on the confidence score.