@article{Vicenzi_Sciarra_2022, title={Using Diphones in Large Vocabulary Word Recognition}, volume={14}, url={https://jcaa.caa-aca.ca/index.php/jcaa/article/view/3516}, abstractNote={<p>In this paper we present a large vocabulary,speaker dependent, isolated word recognition system with diphones as basic units, so that the training session is much faster and useful for any application. The system, tested on a vocabulary of 910 words on one speaker, gave a word recognition rate of 78%, slightly lower than an Itakura recognizer with whole word templates (WRR= 85%)</p>}, number={3 bis}, journal={Canadian Acoustics}, author={Vicenzi , C. and Sciarra, D.}, year={2022}, month={Dec.}, pages={47–48} }