Open-ended design and performance evaluation of a biometric speaker identification system

It is very important that biometrics education, particularly at the undergraduate level, keeps pace with the rapidly growing global market. This paper describes a senior level project in speech biometrics that fits in a variety of courses in order to reach out to many students. The project has broad learning outcomes, namely, enhanced application of math skills, software implementation skills, interest in biometrics, ability to carry out open-ended design and communication skills. Assessment results based on the analysis of the success of the students (refereed publications and enrolling in graduate programs), student surveys related to the learning outcomes and a target versus control group survey show that the project was successful.

[1]  Yannis Tsividis Turning Students On to Circuits , 2008, IEEE Circuits and Systems Magazine.

[2]  Ravi P. Ramachandran,et al.  The affine transform and feature fusion for robust speaker identification in the presence of speech coding distortion , 2010, 2010 IEEE Asia Pacific Conference on Circuits and Systems.

[3]  Ravi P. Ramachandran,et al.  Fast adaptive component weighted cepstrum pole filtering for speaker identification , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[4]  Yingzi Du,et al.  A multidisciplinary approach to biometrics , 2005, IEEE Transactions on Education.

[5]  R Togneri,et al.  An Overview of Speaker Identification: Accuracy and Robustness Issues , 2011, IEEE Circuits and Systems Magazine.

[6]  Karsten P. Ulland,et al.  Vii. References , 2022 .

[7]  Haizhou Li,et al.  An overview of text-independent speaker recognition: From features to supervectors , 2010, Speech Commun..

[8]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[9]  C. Trullemans,et al.  From KCL to Class D Amplifier , 2009, IEEE Circuits and Systems Magazine.

[10]  Gregory Ditzler,et al.  Fusion methods for boosting performance of speaker identification systems , 2010, 2010 IEEE Asia Pacific Conference on Circuits and Systems.

[11]  Robi Polikar,et al.  Introducing Multidisciplinary Novel Content Through Laboratory Exercises On Real World Applications , 2007 .

[12]  Thomas Quatieri,et al.  Discrete-Time Speech Signal Processing: Principles and Practice , 2001 .

[13]  Ravi P. Ramachandran,et al.  Fast pole filtering for speaker recognition , 2000, 2000 IEEE International Symposium on Circuits and Systems. Emerging Technologies for the 21st Century. Proceedings (IEEE Cat No.00CH36353).

[14]  John L. Schmalzel,et al.  Creating an Agile ECE Learning Environment Through Engineering Clinics , 2010, IEEE Transactions on Education.

[15]  Ravi P. Ramachandran,et al.  Vertical integration of system-on-chip concepts in the digital design curriculum , 2009, 2009 IEEE International Conference on Microelectronic Systems Education.

[16]  Richard J. Mammone,et al.  Speaker identification based on the use of robust cepstral features obtained from pole-zero transfer functions , 1998, IEEE Trans. Speech Audio Process..

[17]  S. F. Cotter Laboratory Exercises For An Undergraduate Biometric Signal Processing Course , 2010 .

[18]  J.P. Campbell,et al.  Forensic speaker recognition , 2009, IEEE Signal Processing Magazine.