Technical Program

Paper Detail

Paper:SP-P3.14 (ICASSP 2003 Paper)
Session:Topics in Speaker and Langauge Recognition
Time:Tuesday, May 18, 15:30 - 17:30
Presentation: Poster (ICASSP 2003 Presentation)
Topic: Speech Processing: Language Identification
Authors: Jilei Tian; Nokia Research Center 
 Janne Suontausta; Nokia Research Center 
Abstract: Automatic language identification is an integral part of multilin-gual automatic speech recognition and synthesis systems. In this paper, we propose a novel scalable method for neural network based language identification from written text. The developed algorithm is further deployed in a multilingual ASR system. The developed algorithm is particularly proposed for embedded im-plementation platforms with sparse memory resources. With the proposed approach, both high language identification as well as recognition rates are achieved across several languages with a compact size of the language identification model. The major benefit of the approach is that the neural network based language identification model can be scaled to meet the memory require-ments set by the target platform while maintaining the language identification accuracy of the baseline system. The experiments show that the suggested scalable approach can save more than 50% memory while the performance is comparable to that of the base-line system. The performance is also verified in a multilingual speech recognition task.

Home -||- Organizing Committee -||- Technical Committee -||- Technical Program -||- Plenaries
Paper Submission -||- Special Sessions -||- ITT -||- Paper Review -||- Exhibits -||- Tutorials
Information -||- Registration -||- Travel Insurance -||- Housing -||- Workshops

©2015 Conference Management Services, Inc. -||- email: -||- Last updated Wednesday, April 07, 2004