Y. Sekiguchi et M. Shigenaga, USE OF ASSOCIATIVE INFORMATION TO CONTINUOUS SPEECH RECOGNITION, Systems and computers in Japan, 26(12), 1995, pp. 96-106
Citations number
14
Categorie Soggetti
Computer Science Hardware & Architecture","Computer Science Information Systems","Computer Science Theory & Methods
The continuous speech frequently includes intervals where the utterer
is ''lazy'' and does not exhibit a precise pronunciation. Sometimes th
e accurate recognition of auxiliaries, which are grammatically importa
nt, is prevented. Consequently, to recognize the continuous speech, it
is necessary to make use of more intuitive information, i.e., the ass
ociative information as the human does, in addition to linguistic info
rmation such as syntax and semantics. First, this paper shows that the
continuous speech contains ambiguously uttered intervals, for which t
he acoustic processing is difficult. Next, the human associations amon
g the words are examined and investigated, aiming at the construction
of the associative word dictionary to be utilized in the speech recogn
ition. Using such an associative word dictionary, the association stre
ngth between words is determined, and the succeeding word is predicted
. The associative information, not only the acoustic information, also
is included in the recognition of the phrase. In the previous speech
recognition system by the authors, the phoneme recognition rate of app
roximately 90 percent is required in order to achieve the sentence rec
ognition rate of 75 percent, if the associative information is not uti
lized. The phoneme recognition rate of approximately 80 percent is suf
ficient to achieve the sentence recognition rate of 75 percent by util
izing the associative information. It is seen also in the system const
ructed by the authors that the acoustic information and the associativ
e information should be utilized by the ratio of approximately 3:1, fo
r scoring the information.