A speech recognition system in a noisy factory struggles to transcribe worker instructions, using spectrogram analysis. What processing causes consistent errors even after noise reduction algorithms are applied?

💡 Explanation

Phoneme masking explains the speech recognition errors because residual noise after initial processing obscures specific speech sounds, leading to misinterpretation; therefore, even a well-trained system fails, rather than feature extraction issues or limited datasets preventing recognition in cleaner scenarios.

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