Conversion grapheme-phone for a system of recognition of voice with support the great vocabularies for the Brazilian Portuguese / Conversão grafema-fone para um sistema de reconhecimento de voz com suporte a grandes vocabulários para o português brasileiro

AUTOR(ES)
DATA DE PUBLICAÇÃO

2006

RESUMO

Speech processing has become a data-driven technology. Hence, the success of research in this area is linked to the existence of public corpora and associated resources, as a phonetic dictionary. In contrast to other languages such as English, one cannot find, in public domain, a Large Vocabulary Continuos Speech Recognition (LVCSR) System for Brazilian Portuguese. This work discusses some efforts within the FalaBrasil initiative [1], developed by researchers, teachers and students of the Signal Processing Laboratory (LaPS) at UFPA, providing an overview of the research and softwares related to Automatic Speech Recognition (ASR) for Brazilian Portuguese. More specifically, the present work discusses the implementation of a large vocabulary ASR for Brazilian Portuguese using the HTK software, which is based on hidden Markov models (HMM). Besides, the work discusses the implementation of a grapheme-phoneme conversion module using machine learning techniques.

ASSUNTO(S)

conversion grapheme - phone automatic recognition of voice speech processing systems sistema de processamento de fala learning of machine processamento de língua natural reconhecimento automático de voz computer-assisted learning modelos ocultos de markov conversão grafema-fone língua portuguesa - ensino auxiliado por computador sistemas de telecomunicacoes natural language processing (computer science) aprendizado de máquina markov s occult models ensino auxiliado por computador

Documentos Relacionados