06-03-2013, 12:21 PM
Design of Automatic Face/Voice Recognition Systems for Personal Identification
Design of Automatic.ppt (Size: 1.64 MB / Downloads: 46)
Objectives of our Project
Design and implement a simple face recognition system.
Design and implement an automatic voice recognition system.
The MatLAB program is used to implement the project.
Speaker Recognition methods
Text Dependent :
For speaker identity is based on his/ her speaking one or more specific phase.
Text Independent:
Speaker models capture characteristics of somebody’s speech which show up irrespective of what one is saying.
Speech Feature Extraction
That extracts a small amount of data from the voice signal that can later be used to represent each speaker.
MFCC: is based on the known variation of the human ear’s critical bandwidths with frequency, filters spaced linearly at low frequencies and logarithmically at high frequencies.
VQ advantages
The model is trained much faster than other method like Back Propagation.
It is able to reduce large datasets to a smaller number of codebook vectors.
Can handle data with missing values.
The generated model can be updated incrementally.
Not limited in the number of dimensions in the codebook vectors like nearest national techniques.
Easy to implementation and more accurate.