Abstract
Three new features are proposed for isolated spoken word recognition by computer. The features may be extracted from digital filterbank analysis. They are essentially approximation to subjective loudness, spectral balance and first and second formant ratio. The features have been tested on a set of English words spoken by different persons of British accent and the results are given. A dynamic programming algorithm is used to match templates of single word utterances with the trial utterances, for each of the features separately. The results indicate that the proposed features are quite useful in isolated word recognition.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
