Title :
Enhancing automatic speaker identification using phoneme clustering and frame based parameter and frame size selection
Author :
Pelecanos, J. ; Slomka, S. ; Sridharan, S.
Author_Institution :
Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia
Abstract :
The aim of this study is to investigate variations in speaker Identification performance for the various American English phonemes for different speech parameterisation types and frame sizes. Results on KING wideband data indicate that various phonemes have different optimal parameterisation types and frame sizes. A system able to utilise these alternatives is proposed. The system is shown to improve SI system performance when optimal parameterisation schemes are substituted for each phoneme
Keywords :
pattern clustering; speaker recognition; American English phonemes; KING wideband data; SI system performance; automatic speaker identification; frame based parameter selection; frame size selection; phoneme clustering; speech parameterisation; Acoustic signal processing; Australia; Cepstral analysis; Hidden Markov models; Laboratories; Speech enhancement; Speech recognition; System performance; Systems engineering and theory; Wideband;
Conference_Titel :
Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
1-86435-451-8
DOI :
10.1109/ISSPA.1999.815752
