Figure 2. MFCC Block Diagram Step 1-Development an Automatic Speech to Facial Animation Conversion for Improve Deaf Lives
<p>Mel Frequency Cepstral Coefficients (MFCC) are coefficients that represent audio, based on<br> perception. It is derived from the Fourier Transform (FFT) or the Discrete Cosine Transform (DCT)<br> of the audio clip. The basic difference between the FFT/DCT and the MFCC is that in the MFCC,<br> the frequency bands are positioned logarithmically (on the Mel scale) which approximates the<br> human auditory system's response more closely than the linearly spaced frequency bands of FFT or<br> DCT. This allows for better processing of data. The main purpose of the MFCC processor is to<br> mimic the behavior of the human ears. Overall the MFCC process has 5 steps that show in figure 2.</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0