ADVANCED SPEECH PROCESSING

<font color=#AA0000>Voice biometric</font> consists of two major tasks, that is, Feature Extraction and Pattern Recognition. Feature extraction attempts to discover characteristics of the sound signal, while pattern recognition refers to the matching of features in such a way as to determine, within probabilistic limits, whether two sets of features are located from the same or different domain.
In general, voice biometric can be subdivided into voice identification, and voice verification. Voice identification will be used in this paper to send the sound to blind person who used this system.

2.6 DIGITAL SIGNAL PROCESSING (DSP)
The Digital Signal Processing (DSP) is the study of signals in a digital representation and the processing methods of these signals.
The DSP and analogue signal processing are subfields of signal processing. Furthermore, the DSP includes subfields such as audio signal processing, control engineering, digital image processing, and speech processing. RADAR Signal processing, and communications signal processing are two other important subfields of DSP.