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README.md
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## Dynamic Audio Data Augmentation
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Key Benefits
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Enhanced Robustness: By varying spectrogram parameters and injecting realistic noise, our models learn to handle a wide range of audio conditions.
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On-the-Fly Spectrogram Parameter Adjustment:
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n_fft and hop_length: Values for n_fft and hop_length are randomly selected from predefined ranges for each audio sample, providing varied spectrogram representations.
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Log-Mel Modulation:
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### On-the-Fly Spectrogram Parameter Adjustment:
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## Dynamic Audio Data Augmentation
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## Key Benefits
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Enhanced Robustness: By varying spectrogram parameters and injecting realistic noise, our models learn to handle a wide range of audio conditions.
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Low Overhead: The augmentation is integrated into the existing pipeline, ensuring minimal additional computational cost.
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### On-the-Fly Spectrogram Parameter Adjustment:
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