Design of an ultra-low Power MFCC Feature Extraction Circuit with Embedded Speech Activity Detector

2021 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)(2021)

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Abstract
Mel frequency cepstrum coefficient (MFCC) is widely used in the feature extraction of speech signals. In practical applications, the feature extraction circuit does not need to work at non-speech conditions. By extracting and reusing the data of framing operation in MFCC, we propose a speech activity detector (SAD) based on the amplitude and zero-crossing rate of the speech to distinguish differen...
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Key words
Integrated circuit technology,Simulation,Cepstrum,Detectors,Feature extraction,Low-power electronics,Data mining
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