Large vocabulary isolated word recognition: a real-time implementation
作者:
C.Vicenzi,
C.Favareto,
A.Carossino,
A.M.Colla,
C.Scagliola,
P.Pedrazzi,
期刊:
IEE Proceedings I (Communications, Speech and Vision)
(IET Available online 1989)
卷期:
Volume 136,
issue 2
页码: 127-132
年代: 1989
DOI:10.1049/ip-i-2.1989.0016
出版商: IEE
数据来源: IET
摘要:
In the paper, a large vocabulary realtime isolated word recognition system (DSPELL) is presented. Although the final goal of the project is to recognise words from a vocabulary whose size is of the order of 10–20 thousand, the present system is intended to perform real-time recognition on vocabulary subsets (cohorts) of up to 2 thousand words. The system is implemented on Elsag's multiprocessor EMMA† for a fast response. Basic features of the system are the use of subword units (diphones) for the acoustic measurements, and the derivation of synthetic symbolic word templates directly from the lexicon. The use of diphones makes the training session of DSPELL very convenient.
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