Title :
Portuguese variety identification on broadcast news
Author :
Rouas, Jean-Luc ; Trancoso, Isabel ; Viana, Céu ; Abreu, Mónica
Author_Institution :
Spoken Language Syst. Lab., INESC-ID, Lisbon
fDate :
March 31 2008-April 4 2008
Abstract :
This paper describes an accent identification system for Portuguese, that explores different type of properties: acoustic, phono tactic and prosodic. The system is designed to be used as a pre-processing module for the Portuguese automatic speech recognition system developed at INESC-ID. In terms of variety identification, the overall rate of correct identification is 69.0% if all 7 varieties are considered, and the best results are obtained for Brazilian Portuguese, also the variety that proved easiest to identify in perceptual experiments. When distinguishing between European, Brazilian and African Portuguese, the identification rate goes up to 94.7%. The fact that the prosodic system alone can achieve an identification rate of 77% is also worth investigating.
Keywords :
broadcasting; speech recognition; Portuguese automatic speech recognition system; Portuguese variety identification; accent identification system; broadcast news; Acoustic signal detection; Acoustic signal processing; Acoustic testing; Automatic speech recognition; Broadcasting; Humans; Laboratories; Loudspeakers; Natural languages; Sections; Automatic Language Identification; Broadcast News; Portuguese Varieties;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518588