Mostra el registre d'ítem simple
Speech recognition in noisy car environment based on OSALPC representation and robust similarity measuring techniques
dc.contributor.author | Hernando Pericás, Francisco Javier |
dc.contributor.author | Nadeu Camprubí, Climent |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2016-07-12T08:34:24Z |
dc.date.available | 2016-07-12T08:34:24Z |
dc.date.issued | 1994 |
dc.identifier.citation | Hernando, J., Nadeu, C. Speech recognition in noisy car environment based on OSALPC representation and robust similarity measuring techniques. A: IEEE International Conference on Acoustics, Speech, and Signal Processing. "ICASSP-94: 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing: April 19- 22, 1994: Adelaide Convention Centre, Adelaide, South Australia". Adelaide, South Australia: 1994, p. 69-72. |
dc.identifier.uri | http://hdl.handle.net/2117/88693 |
dc.description.abstract | The performance of the existing speech recognition systems degrades rapidly in the presence of background noise. The OSALPC (one-sided autocorrelation linear predictive coding) representation of the speech signal has shown to be attractive for speech recognition because of its simplicity and its high recognition performance with respect to the standard LPC in severe conditions of additive white noise. The aim of this paper is twofold: (1) to show that OSALPC also achieves good performance in a case of real noisy speech (in a car environment), and (2) to explore its combination with several robust similarity measuring techniques, showing that its performance improves by using cepstral liftering, dynamic features and multilabeling. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
dc.subject.lcsh | Automobiles |
dc.subject.lcsh | Markov processes |
dc.subject.other | Automobiles |
dc.subject.other | Cepstral analysis |
dc.subject.other | Correlation methods |
dc.subject.other | Hidden Markov models |
dc.title | Speech recognition in noisy car environment based on OSALPC representation and robust similarity measuring techniques |
dc.type | Conference report |
dc.subject.lemac | Automòbils |
dc.subject.lemac | Markov, Processos de |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.identifier.doi | 10.1109/ICASSP.1994.389716 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/stamp/stamp.jsp?tp=&arnumber=389716 |
dc.rights.access | Open Access |
local.identifier.drac | 2366965 |
dc.description.version | Postprint (published version) |
local.citation.author | Hernando, J.; Nadeu, C. |
local.citation.contributor | IEEE International Conference on Acoustics, Speech, and Signal Processing |
local.citation.pubplace | Adelaide, South Australia |
local.citation.publicationName | ICASSP-94: 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing: April 19- 22, 1994: Adelaide Convention Centre, Adelaide, South Australia |
local.citation.startingPage | 69 |
local.citation.endingPage | 72 |