Title :
Speaker characteristics in speech and speaker recognition
Author_Institution :
Canberra Univ., ACT, Australia
Abstract :
Summary form only given. This paper analyses the acoustic variability of speakers and its impact on the robustness of contemporary automatic speech recognition and speaker recognition systems. The physiological and behavioural constraints of individual speech articulation are reviewed and examples are given of how these constraints affect commonly used spectral and cepstral features. Speech data from the Australian National Database of Spoken Language is analysed to show how gender, age and dialect affect the acoustic models in speech and speaker recognition systems. Some adaptive strategies for speech recognition and corresponding speaker recognition methods are discussed
Keywords :
acoustic signal processing; adaptive signal processing; cepstral analysis; physiology; speech recognition; acoustic variability; automatic speaker recognition systems; automatic speech recognition; speaker characteristics; Adaptive systems; Australia; Automatic speech recognition; Cepstral analysis; Loudspeakers; Natural languages; Robustness; Spatial databases; Speaker recognition; Speech analysis;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.648284