Title :
Spontaneous speech recognition for the credit card corpus using the HTK toolkit
Author :
Young, Stephen J. ; Woodland, Philip C. ; Byrne, W.J.
Author_Institution :
Dept. of Eng., Cambridge Univ., UK
fDate :
10/1/1994 12:00:00 AM
Abstract :
This paper describes a speech recognition system for the credit card corpus which was provided as a baseline for the Summer Workshop on Robust Speech Processing held at the Rutgers CAIP Center in July/August 1993. The system was built using a portable HMM toolkit called HTK. This is described, along with details of the training and testing methods used. Benchmark performance results are presented for mixture Gaussian monophones and tied-state triphones using four different language models. The overall accuracy levels achieved were very low, indicating that this is a very difficult recognition task. The paper concludes with a discussion of some specific problems encountered with the Credit Card data and suggestions for future work
Keywords :
credit transactions; hidden Markov models; speech recognition; speech recognition equipment; HTK toolkit; benchmark performance results; credit card corpus; language models; mixture Gaussian monophones; portable HMM toolkit; speech recognition system; spontaneous speech recognition; testing method; testing methods; tied-state triphones; training methods; Benchmark testing; Conferences; Credit cards; Databases; Hidden Markov models; Libraries; Robustness; Speech processing; Speech recognition; Vocabulary;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
