Title :
A novel algorithm for HMM word spotting performance evaluation and error analysis
Author :
Marcus, Jeffrey N.
Author_Institution :
Lab. for Comput. Sci., MIT, Cambridge, MA, USA
Abstract :
A hidden Markov model (HMM) wordspotter is described. The emphasis is on the algorithms for HMM scoring and performance evaluation, which offer several advantages over those currently used. These advantages include the ability to: determine both the beginning and ending points of a spotted word, generate a smooth receiver operating characteristic (ROC) in a computationally efficient manner, and compare word spotters on the same task using a nonparametric significance test
Keywords :
error analysis; hidden Markov models; speech recognition; HMM word spotting; algorithms; error analysis; hidden Markov model; nonparametric significance test; performance evaluation; receiver operating characteristic; scoring; speech recognition; Algorithm design and analysis; Character generation; Computer errors; Computer science; Error analysis; Hidden Markov models; Laboratories; Natural languages; Performance analysis; Speech enhancement;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0532-9
DOI :
10.1109/ICASSP.1992.226113
