Conference paper

MARTÍNEZ González David, BURGET Lukáš, FERRER Luciana and SCHEFFER Nicolas. Ivector-Based Prosodic System For Language Identification. In: Proc. International Conference on Acoustics, Speec. Kyoto: IEEE Signal Processing Society, 2012, pp. 4861-4864. ISBN 978-1-4673-0044-5.
Publication language:english
Original title:Ivector-Based Prosodic System For Language Identification
Title (cs):I-vektorový prozodický systém pro rozpoznávání jazyka
Proceedings:Proc. International Conference on Acoustics, Speec
Conference:The 37th International Conference on Acoustics, Speech, and Signal Processing
Place:Kyoto, JP
Publisher:IEEE Signal Processing Society
Language Identification, Prosody, iVectors, Joint Factor Analysis
This paper is on a LID system based on prosodic features. Extraction of the pitch, energy, and duration allows us to represent the three components of prosody.
Prosody is the part of speech where rhythm, stress, and intonation are reflected. In language identification tasks, these characteristics are assumed to be language dependent, and thus the language can be identified from them. In this paper, an automatic language recognition system that extracts prosody information from speech and makes decisions about the language with a generative classifier based on iVectors is built. The system is tested on the NIST LRE09 dataset. The results are still not comparable to state-of-the-art acoustic and phonotactic systems. However, they are promising and the fusion of the new approach with an iVector-based acoustic system is found to bring further improvements over the latter.
   author = {David Gonz{\'{a}}lez Mart{\'{i}}nez and
	Luk{\'{a}}{\v{s}} Burget and Luciana Ferrer and
	Nicolas Scheffer},
   title = {Ivector-Based Prosodic System For Language
   pages = {4861--4864},
   booktitle = {Proc. International Conference on Acoustics, Speec},
   year = 2012,
   location = {Kyoto, JP},
   publisher = {IEEE Signal Processing Society},
   ISBN = {978-1-4673-0044-5},
   doi = {10.1109/ICASSP.2012.6289008},
   language = {english},
   url = {}

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