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
Nogueiras Rodríguez, Albino
dc.identifier
Nogueiras, A. An HMM-Based Approach to the INTERSPEECH 2011 Speaker State Challenge. A: Annual Conference of the International Speech Communication Association. "Proceedings of Interspeech 2011". Florència: 2011, p. 3289-3292.
dc.identifier
https://hdl.handle.net/2117/16091
dc.description.abstract
The current main trend in paralinguistic information recognition is the so-called static classification. In this kind of
classification the low level descriptors are pooled togethr by means of statistical functionals and all, or almost all,
information about the temporal structure and evolution of speech is lost. Although this approach represents the state-ofthe-art, we believe that dynamic classification, where temporal information is kept, still deserves some attention due to its capability to handle aspects impossible to do by the static one. In this paper the INTERSPEECH 2011 Speaker State Challenged is addressed using the Automatic Speech Recognition system developed at UPC, which has already
been used in a similar task: emotion recognition. Although results fall below the baseline, we believe that they are close
enough to be taken into account
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.relation
http://www.isca-speech.org/archive/archive_papers/interspeech_2011/i11_3289.pdf
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Llenguatge natural
dc.subject
Speech processing systems
dc.subject
Computational linguistics
dc.subject
Processament de la parla
dc.title
An HMM-Based Approach to the INTERSPEECH 2011 Speaker State Challenge
dc.type
Conference lecture
