Figure 1. The Structure of the Automatic Translate Voice to Sign Language Animation System-Development an Automatic Speech to Facial Animation Conversion for Improve Deaf Lives
| Main Authors: | S. Hamidreza Kasaei, S. Mohammadreza Kasaei, S. Alireza Kasaei |
|---|---|
| Format: | info Image |
| Bahasa: | eng |
| Terbitan: |
, 2011
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| Subjects: | |
| Online Access: |
https://www.edusoft.ro/brain/index.php/brain/issue/view/14 |
Daftar Isi:
- All technologies of voice recognition, speaker identification and verification, each has its own advantages and disadvantages and may requires different treatments and techniques. The choice of which technology to use is application-specific. At the highest level, all voice recognition systems contain two main modules: feature extraction and feature matching. Feature extraction is the process that extracts a small amount of data from the voice signal that can later be used to represent each word. Feature matching involves the actual procedure to identify the unknown word by comparing extracted features from his/her voice input with the ones from a set of known words. A wide range of possibilities exist for parametrically representing the speech signal for the voice recognition task, such as Linear Prediction Coding (LPC), RASTA-PLP and Mel-Frequency Cepstrum Coefficients (MFCC).