Um Sistema de Reconhecimento de Voz Contínua Dependente da Tarefa em Língua Portuguesa<br />DOI: 10.14209/jcis.2002.6
Main Article Content
Abstract
In this paper, we propose a continuous speech recognition system for automatic dial-up telephone calls in the Portuguese language. The system allows a more friendly operation, avoiding that the user he constrained to digit repetitions. The phonetic units are obtained from a reduced inventory recently proposed for the Portuguese language. A finite state machine configuration is proposed for the recognition process, which is based upon the structure of the Portuguese grammar. Using this configuration a new structure is proposed that incorporales task-dependent knowledge sources. Two algorithms widely used in the recognition step (the "level-building" and the "one-pass") are then analyzed and compared. Moreover, it is shown how to incorporate into the algorithms the knowledge from the state machine.
Article Details
How to Cite
Cerqueira Bispo dos Santos, S., & Alcaim, A. (2015). Um Sistema de Reconhecimento de Voz Contínua Dependente da Tarefa em Língua Portuguesa<br />DOI: 10.14209/jcis.2002.6. Journal of Communication and Information Systems, 17(2). Retrieved from https://jcis.sbrt.org.br/jcis/article/view/259
Issue
Section
Regular Papers
Authors who publish in this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
___________