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Developer’s Description

Identify people using the acoustic features of speech.

Text-independent speaker recognition based on Neural Networks Matlab source code. Speaker recognition or voice recognition is the task of recognizing people from their voices. Such systems extract features from speech, model them and use them to recognize the person from his/her voice. Speaker recognition has a history dating back some four decades, where the output of several analog filters was averaged over time for matching.

Speaker recognition uses the acoustic features of speech that have been found to differ between individuals. These acoustic patterns reflect both anatomy (e.g., size and shape of the throat and mouth) and learned behavioral patterns (e.g., voice pitch, speaking style). This incorporation of learned patterns into the voice templates (called voiceprints) has earned speaker recognition its classification as a behavioral biometric. Version 1.1 may include unspecified updates, enhancements, or bug fixes.



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Full Specifications

GENERAL
Release
Latest update
Version
1.1
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 10
  • Windows ME
  • Windows 98
  • Windows 3
  • Windows 95
  • Windows XP
  • Windows 2000
  • Windows NT
Additional Requirements
Windows 3.x/95/98/Me/NT/2000/XP, Matlab Signal Processing and Neural Net. Toolboxes
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