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🔗 Source: preview.aclanthology.org
📊 Size: 130 KB
👤 Author: Shui-Ching Chang * and Tze Fen Li, ......
⬇️ Downloads: 148

Summary

The study uses a Bayes decision rule for classification and finds that LPCC gives a recognition rate about 10% higher than MFCC, with much less computational time required for extraction from speech signal waveforms. The MFCC method uses a bank of filters to smooth the spectrum, similar to human ear processing, while the LPCC method provides a robust and reliable estimation of parameters. Two speech recognition experiments were conducted, one in a noisy environment and another in a quiet classroom, with results showing LPCC to be more accurate and efficient. The paper also discusses the Bayes decision rule and feature extraction methods, including preprocessing speech signals and calculating MFCC and LPCC coefficients.

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Description

The study uses a Bayes decision rule for classification and finds that LPCC gives a recognition rate about 10% higher than MFCC, with much less computational...

Technical Information

  • File Format: PDF
  • File Size: 130 KB
  • Pages: 12
  • Language: EN
  • Author: Shui-Ching Chang * and Tze Fen Li, ......
  • Total Downloads: 148
  • Last Updated: 2 hours ago

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