Section 1 Introduction Section1
Section 2 The SAAVB Section2
2.1 What is SAAVB?
2.2 What is the objective of SAVVB?
2.3 How the process of collecting data works?
2.3.1 How the Telephone Interface System is built?
2.3.2 How the Call Flow Recording System is operated?
22.214.171.124 The Call Receive program
126.96.36.199 The Recording Call Flow program
2.3.3 The Transcription Setup
188.8.131.52 The Hardware Setup
184.108.40.206 The Software Setup
2.3.4 The Backup and Data Management System
220.127.116.11 The Recording Setup Backup and Management System
2.3.5 The Transcription Backup and Data management System
Section 3 Feature Extraction Section3
3.2 Signal-processing front end
3.3 Mel-Frequency Cepstrum Coefficients
Section 4 Hidden Markov Model toolKit Section4
4.1 Introduction to HMM
4.2 Markov model
4.3 Hidden Markov Model
4.4 Introduction to HTK
Section 5 Gender Identification Section5
5.1 What is gender identification?
5.2 Another used algorithm: The Peak algorithm
5.3 How to use HTK for Gender Identification
5.3.1 Training step
5.3.2 Testing step
Section 6 Accent Identification Section6
Section 7 Speaker Identification Section7
Section 8 Developed Programs
Section 9 Experiments Results Section9