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About 13MFCC Tutorial
The document provides a tutorial on Mel Frequency Cepstral Coefficients (MFCCs), a widely used feature in automatic speech and speaker recognition. It explains that MFCCs aim to accurately represent the envelope of the short-time power spectrum of speech as the shape of the vocal tract determines the sounds produced. The summary describes the 6 main steps to calculate MFCCs: 1) frame the signal, 2) calculate the power spectrum of each frame, 3) apply a mel filterbank to sum the energy in frequency bands, 4) take the logarithm of filterbank energies, 5) take the discrete cosine transform, and 6) keep the lower 12-13 DCT coefficients as the MFCC features.
Detailed Information
| Author: | ['Dhruv Varshney'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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