Show simple item record

dc.contributor.authorNogueiras Rodríguez, Albino
dc.contributor.authorCasar López, Marta
dc.contributor.authorRodríguez Fonollosa, José Adrián
dc.contributor.authorCaballero Galeote, Mónica
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2012-06-14T16:59:31Z
dc.date.created2006
dc.date.issued2006
dc.identifier.citationNogueiras, A. [et al.]. First experiments on an HMM based double layer framework for automatic continuous speech recognition. A: Jornadas en Tecnologia del Habla. "Actas de las IV Jornadas en Tecnologia del Habla". Zaragoza: 2006, p. 225-229.
dc.identifier.isbn84-96214-82-6
dc.identifier.urihttp://hdl.handle.net/2117/16051
dc.description.abstractThe usual approach to automatic continuous speech recognition is what can be called the acoustic-phonetic modelling approach. In this approach, voice is considered to hold two different kinds of information acoustic and phonetic . Acoustic information is represented by some kind of feature extraction out of the voice signal, and phonetic information is extracted from the vocabulary of the task by means of a lexicon or some other procedure. The main assumption in this approach is that models can be constructed that capture the correlation existing between both kinds of information. The main limitation of acoustic-phonetic modelling in speech recognition is its poor treatment of the variability present both in the phonetic level and the acoustic one. In this paper, we propose the use of a slightly modified framework where the usual acoustic-phonetic modelling is divided into two different layers: one closer to the voice signal, and the other closer to the phonetics of the sentence. By doing so we expect an improvement of the modelling accuracy, as well as a better management of acoustic and phonetic variability. Experiments carried out so far, using a very simpli ed version of the proposed framework, show a signi cant improvement in the recognition of a large vocabulary continuous speech task, and represent a promising start point for future research.
dc.format.extent5 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject.lcshAutomatic speech recognition.
dc.titleFirst experiments on an HMM based double layer framework for automatic continuous speech recognition
dc.typeConference lecture
dc.subject.lemacReconeixement automàtic de la parla
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://jth2006.unizar.es/finals/4jth_162.pdf
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac2375583
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorNogueiras, A.; Casar, M.; Fonollosa, José A. R.; Caballero, M.
local.citation.contributorJornadas en Tecnologia del Habla
local.citation.pubplaceZaragoza
local.citation.publicationNameActas de las IV Jornadas en Tecnologia del Habla
local.citation.startingPage225
local.citation.endingPage229


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder