Title :
Speaker independent recognition of connected digits
Author :
Rabiner, L.R. ; Sambur, M.R.
Author_Institution :
Bell Laboratories, Murray Hill, New Jersey
Abstract :
This paper describes an implementation of a speaker independent system which can recognize connected digits. The overall recognition system consists of two separate but inter-related parts. The function of the first part of the system is to segment the digit string into the individual digits which comprise the string; the second part of the system then recognizes the individual digits based on the results of the segmentation. To evaluate the accuracy of the system in segmenting and recognizing digit strings a series of experiments was conducted. Using high quality recordings from a soundproof booth the segmentation accuracy was found to be about 99%, and the recognition accuracy was about 91% across 10 speakers (5 male, 5 female). With recordings made in a noisy computer room the segmentation accuracy remained close to 99%, and the recognition accuracy was about 87% across another group of 10 speakers (5 male, 5 female).
Keywords :
Acoustic noise; Acoustical engineering; Autocorrelation; Energy measurement; Linear predictive coding; Loudspeakers; Pattern recognition; Signal analysis; Speech analysis; Speech recognition;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
DOI :
10.1109/ICASSP.1976.1170054