Proceedings of the KSPS conference (대한음성학회:학술대회논문집)
A study on Effective Feature Parameters Comparison for Speaker Recognition
화자인식에 효과적인 특징벡터에 관한 비교연구
- Published : 2003.05.01
In this paper, we carried out comparative study about various feature parameters for the effective speaker recognition such as LPC, LPCC, MFCC, Log Area Ratio, Reflection Coefficients, Inverse Sine, and Delta Parameter. We also adopted cepstral liftering and cepstral mean subtraction methods to check their usefulness. Our recognition system is HMM based one with 4 connected-Korean-digit speech database. Various experimental results will help to select the most effective parameter for speaker recognition.