Please use this identifier to cite or link to this item:
Type: Relatório
Title: Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models
Author(s)/Inventor(s): Thomé, Antonio Carlos Gay
Santos, Sidney B. dos
Diniz, Suelaine S
Abstract: The main goal in this research is to find out possible ways to built hybrid systems, based on neural network (NN) and hidden M;arkov (HMM) models, for the task of automatic speech recognition. The investigation that has been conducted covers different types of neural network and hidden Markov models, and the combination of them into some hybrid models. The neural networks used were basically MLP and Radial Basis models. The hidden Markov models were basically different combinations of states and mixtures of the Continuous Density type of the Bakis model. A reduced set with ten words spoken in the Portuguese idiom, from Brazil, was carefully chosen to provide some pronounce and phonetic confusion. The results already obtained showed very positive, pointing toward to a high potentiality of such hybrid models.
Keywords: Reconhecimento de voz
Redes neurais (Ciência da computação)
Production unit: Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais
In: Relatório Técnico NCE
Issue: 1599
Issue Date: 31-Dec-1999
Publisher country: Brasil
Language: eng
Right access: Acesso Aberto
Citation: THOMÉ, A. G.; SANTOS, S. B. dos; DINIZ, S. S. Automatic speech recognition: a study and performance evaluation on neural networks and hidden markov models. Rio de Janeiro: NCE, UFRJ, 1999. 6 p. (Relatório Técnico, 19/99)
Appears in Collections:Relatórios

Files in This Item:
File Description SizeFormat 
15_99_000611274.pdf712.52 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.