A comparative study of techniques for HMM-based noisy speech recognition in noisy car environment

Home | About RECERCAT | Contact

Català | Castellano

All of RECERCAT

By Communities &
Collections By Defense Date By Authors By Titles By Subject

This Collection

By Defense Date By Authors By Titles By Subject

Statistics

View Statistics All RECERCAT

My RECERCAT

Other repositories directory

RECERCAT Home > Universitat Politècnica de Catalunya > Documents de recerca > View document

To access the full text documents, please follow this link: http://hdl.handle.net/2117/88701

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.contributor.author	Hernando Pericás, Francisco Javier
dc.contributor.author	Nadeu Camprubí, Climent
dc.contributor.author	Mariño Acebal, José Bernardo
dc.date	1993
dc.identifier.citation	Hernando, J., Nadeu, C., Mariño, J.B. A comparative study of techniques for HMM-based noisy speech recognition in noisy car environment. A: Speech recognition and coding. New advances and trends. "Proceedings of the NATO advanced study institute on new advances and trends in speech recognition and coding: held in Bubión, Granada, Spain: June 28 – July 10, 1993". Bubión: Springer, 1993, p. 35-38.
dc.identifier.citation	978-3-642-63344-7
dc.identifier.uri	http://hdl.handle.net/2117/88701
dc.language.iso	eng
dc.publisher	Springer
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject	Speech processing systems
dc.subject	Processament de la parla
dc.title	A comparative study of techniques for HMM-based noisy speech recognition in noisy car environment
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The performance of existing speech recognition systems degrades rapidly in the presence of background noise when training and testing cannot be done under the same ambient conditions. The aim of this paper is to report the application of several robust techniques on a system based on the HMM (Hidden Markov Models) and VQ (Vector Quantization) approaches for speech recognition in noisy car environment: parameterization based on the linear prediction of the causal part of the autocorrelation sequence (OSALPC) - proposed by the authors in [1] [2]-, optimization of spectral model order and cepstral lifter, cepstral projection distance measure, dynamic information and multilabeling.
dc.description.abstract	Peer Reviewed

Show simple item record

All of RECERCAT

This Collection

Statistics

My RECERCAT

Related documents

Other documents of the same author