Showing papers by "Robert Leroy Mercer published in 1981"
IBM1
TL;DR: Two methods for automatically obtaining a set of acoustic prototypes for use by a centisecond labeling acoustic processor are described, one of which is based on bootstrapping, the other on clustering.
Abstract: Automatic selection of acoustic prototypes is an important step towards making speech recognition systems automatically adaptable to new speakers. Two methods for automatically obtaining a set of acoustic prototypes for use by a centisecond labeling acoustic processor are described. One method is based on bootstrapping, the other on clustering. Recognition results using these automatically obtained prototypes on the 1000-word vocabulary natural language Laser Patent task are presented. These results are compared to those from an experiment in which the acoustic prototypes were manually selected.
36 citations
IBM1
TL;DR: This paper describes the results of an experiment in which the speech recognition system was applied to the problem of recognizing sentences from the restricted laser-patent corpus when the sentences are read with pauses between the words.
Abstract: This paper describes the results of an experiment in which we have applied our speech recognition system to the problem of recognizing sentences from our restricted laser-patent corpus when the sentences are read with pauses between the words. Except for changes to the phonology and the training data, nothing has been done to adapt the system to isolated word recognition. On 20 sentences a word error rate of 3.1% was obtained. This compares with 8.7% for the same sentences when spoken continuously by the same talker.
19 citations
IBM1
TL;DR: A recognition experiment has been carried out on a natural speech corpus using five-dimensional vectors composed of the four Dutch vowel factors of Klein, Plomp, and Pols, plus an indicator of short-term changes in overall power.
Abstract: The stack linguistic decoder described in references (1,3,6) has been modified to operate directly on continuous parameter vectors produced by an acoustic processor, thereby bypassing entirely labeling and segmentation of the speech signal. A recognition experiment has been carried out on a natural speech corpus using five-dimensional vectors composed of the four Dutch vowel factors of Klein, Plomp, and Pols, plus an indicator of short-term changes in overall power. The results are compared to those from an earlier experiment in which a centisecond labeling acoustic processor was used.
14 citations