Spontaneous speech recognition for the credit card corpus using the HTK toolkit
S.J. Young, Philip C. Woodland, Bill Byrne · IEEE Transactions on Speech and Audio Processing · 1994
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.>