Covariance Matrix Estimation and Classification With Limited Training Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Hybrid HMM-NN Architectures for Connected Digit Recognition
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5 - Volume 5
Multilingual Speech Processing
Multilingual Speech Processing
A phonotactic language model for spoken language identification
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Robust language identification based on fused phonotactic information with MLKSFM pre-classifier
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Automatic speech recognition for under-resourced languages: application to Vietnamese language
IEEE Transactions on Audio, Speech, and Language Processing
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This paper describes the development of a Language Identification (LID) system oriented to robust Multilingual Speech Recognition in the Basque context where coexist three languages: Basque, Spanish and French. The LID system is integrated in GorUP, a Semantic Speech Recognition system for industrial complex environments described in Part I. The work presents hybrid strategies for LID, based on the selection of system elements by several classifiers (Support Vector Machines and Multilayer Perceptron) and Discriminant Analysis improved with robust regularized covariance matrix estimation methods oriented to under-resourced languages and stochastic methods for speech recognition tasks (Hidden Markov Models and n-grams). The LID tool manages the main elements of the Automatic Speech Recognition system (Acoustic Phonetic Decoder, Language Model and Lexicons).