What methodology did early rudimentary Speech Recognition systems often rely upon for converting sound waves to identifiable units?
Answer
Pattern matching based on spectral analysis of the audio signal.
The initial automated systems developed for speech recognition were considerably rudimentary compared to modern techniques like neural networks. These early attempts to convert spoken language automatically often employed methods that involved detailed analysis of the audio signal's frequency components. Specifically, these systems frequently used pattern matching techniques that were derived from spectral analysis. While this approach marked a shift away from human ears, it required standardized input and significant processing power, often making these early models impractical for the noisy, unpredictable, and rapidly changing environment typical of a live telephone line.
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