loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Corneliu Octavian Dumitru 1 and Inge Gavat 2

Affiliations: 1 1Politehnica University Bucharest, Faculty of Electronics Telecommunication and Information Technology; GET/INT 9, France ; 2 Politehnica University Bucharest, Faculty of Electronics Telecommunication and Information Technology, Romania

ISBN: 978-972-8865-61-0

Keyword(s): HMM, MFCC, PLP, LPC, context dependent modeling, continuous speech.

Related Ontology Subjects/Areas/Topics: Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Speech Recognition

Abstract: This paper describes continuous speech recognition experiments for Romanian language, by using HMM (Hidden Markov Models) modeling. The following questions are to be discussed: the realization of a new front-end reconsidering linear prediction, the enhancement of recognition rates by context dependent modeling, the evaluation of training strategies ensuring speaker independence of the recognition process without speaker adaptation procedures, by speaker selection for training. The experiments lead to a development of the initial system with a promising front-end based on PLP (Perceptual Linear Prediction) coefficients, second ranked for the recognition performance obtained, near the first ranked front-end based on mel-frequency cepstral coefficients (MFCC), but far better as the last ranked, based on simple linear prediction. Concerning the implemented algorithm for context dependent modeling, it permits in all situations enhanced recognition rates. The experiments made with gender sp eaker selection enhanced under certain conditions the recognition rate, proving good generalization properties especially by training with the male speakers database. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.227.3.146

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Octavian Dumitru C.; Gavat I. and (2006). FEATURES EXTRACTION AND TRAINING STRATEGIES IN CONTINUOUS SPEECH RECOGNITION FOR ROMANIAN LANGUAGE.In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-61-0, pages 114-121. DOI: 10.5220/0001198901140121

@conference{icinco06,
author={Corneliu {Octavian Dumitru} and Inge Gavat},
title={FEATURES EXTRACTION AND TRAINING STRATEGIES IN CONTINUOUS SPEECH RECOGNITION FOR ROMANIAN LANGUAGE},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={114-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001198901140121},
isbn={978-972-8865-61-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - FEATURES EXTRACTION AND TRAINING STRATEGIES IN CONTINUOUS SPEECH RECOGNITION FOR ROMANIAN LANGUAGE
SN - 978-972-8865-61-0
AU - Octavian Dumitru, C.
AU - Gavat, I.
PY - 2006
SP - 114
EP - 121
DO - 10.5220/0001198901140121

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.