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On frequency averaging for spectral analysis in speech recognition
dc.contributor.author | Nadeu Camprubí, Climent |
dc.contributor.author | Galindo, F |
dc.contributor.author | Padrell, J |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2017-04-21T12:23:15Z |
dc.date.available | 2017-04-21T12:23:15Z |
dc.date.issued | 1998 |
dc.identifier.citation | Nadeu, C., Galindo, F., Padrell, J. On frequency averaging for spectral analysis in speech recognition. A: International Conference on Spoken Language Processing. "ICSLP 98: the 5th International Conference on Spoken Language Processing; incorporating the 7th Australian International Speech Science and Technology Conference; Sydney Convention Centre, Sydney, Australia, 30th November-4th December 1998". Sidney: Robert H. Mannel and Jordi Robert-Ribes, 1998, p. 1071-1074. |
dc.identifier.isbn | 1 876346 17 5 |
dc.identifier.uri | http://hdl.handle.net/2117/103617 |
dc.description.abstract | Many speech recognition systems use logarithmic filter-bank energies or a linear transformation of them to represent the speech signal. Usually, each of those energies is routinely computed as a weighted average of the periodogram samples that lie in the corresponding frequency band. In this work, we attempt to gain an insight into the statistical properties of the frequency-averaged periodogram (FAP) from which those energies are samples. Thus, we have shown that the FAP is statistically and asymptotically equivalent to a multiwindow estimator that arises from the Thomson’s optimization approach and uses orthogonal sinusoids as windows. The FAP and other multiwindow estimators are tested in a speech recognition application, observing the influence of several design factors. Particularly, a technique that is computationally simple like the FAP’s one, and which is equivalent to use multiple cosine windows, appears as an alternative to be taken into consideration |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Robert H. Mannel and Jordi Robert-Ribes |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
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 | Telecommunication |
dc.title | On frequency averaging for spectral analysis in speech recognition |
dc.type | Conference report |
dc.subject.lemac | Telecomunicació |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.identifier.drac | 2358311 |
dc.description.version | Postprint (published version) |
local.citation.author | Nadeu, C.; Galindo, F.; Padrell, J. |
local.citation.contributor | International Conference on Spoken Language Processing |
local.citation.pubplace | Sidney |
local.citation.publicationName | ICSLP 98: the 5th International Conference on Spoken Language Processing; incorporating the 7th Australian International Speech Science and Technology Conference; Sydney Convention Centre, Sydney, Australia, 30th November-4th December 1998 |
local.citation.startingPage | 1071 |
local.citation.endingPage | 1074 |