Title :
A controlled study of the suitability and limitations of static modeling of speech
Author :
Chan, Tat-Chung ; Tat-Chung Chan
Author_Institution :
Dept. of Comput. Sci., Hong Kong Univ., Hong Kong
Abstract :
A static model (SM) in the form of a single vector is proposed to represent the temporal properties of a sequence of speech feature vectors. In contrast to a hidden Markov model which captures the conditional probabilities of state transitions of consecutive observations xt and xt+1 over time, an SM captures their average joint probabilities of belonging to a pair of phonetic classes ωi and ωj without any Markovian assumption. An artificial vocabulary of ten words is designed to study the limitations of SM. Experimental results indicate that apart from a rather mild limitation of SM in handling certain types of vocabulary, SM performs better in terms of recognition rate as far as isolated word recognition is concerned
Keywords :
speech recognition; artificial vocabulary; average joint probabilities; conditional probabilities; hidden Markov model; phonetic classes; speech feature vectors; state transitions; static modeling of speech; temporal properties; Acoustic testing; Computer science; Databases; Hidden Markov models; Samarium; Speech recognition; System testing; Training data; Vocabulary;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.271941
