Matches in SemOpenAlex for { <https://semopenalex.org/work/W1482367882> ?p ?o ?g. }
Showing items 1 to 59 of
59
with 100 items per page.
- W1482367882 abstract "This paper describes a feature extraction technique based on fitting a Gaussian mixture model (GMM) to the speech spectral envelope. The features obtained (the component means, variances and priors) represent both the the general shape of the spectrum and provide information on the position of the spectral peaks. As the features select peaks in the spectrum they are related to the formant amplitudes, locations and bandwidths. Results using the Resource Management corpus, a medium vocabulary task are presented. Although by themselves the GMM features do not outperform MFCC features, systems combining the GMM systems with a standard frontend are shown to give a reduction in word error rate." @default.
- W1482367882 created "2016-06-24" @default.
- W1482367882 creator A5006772038 @default.
- W1482367882 creator A5012703069 @default.
- W1482367882 date "2001-09-03" @default.
- W1482367882 modified "2023-09-27" @default.
- W1482367882 title "A mixture of Gaussians front end for speech recognition" @default.
- W1482367882 cites W141886903 @default.
- W1482367882 cites W2049633694 @default.
- W1482367882 cites W2074557046 @default.
- W1482367882 cites W2090861223 @default.
- W1482367882 cites W2106119541 @default.
- W1482367882 cites W2106498461 @default.
- W1482367882 cites W2125293326 @default.
- W1482367882 cites W2132998330 @default.
- W1482367882 cites W2135034868 @default.
- W1482367882 cites W2137644217 @default.
- W1482367882 doi "https://doi.org/10.21437/eurospeech.2001-191" @default.
- W1482367882 hasPublicationYear "2001" @default.
- W1482367882 type Work @default.
- W1482367882 sameAs 1482367882 @default.
- W1482367882 citedByCount "15" @default.
- W1482367882 countsByYear W14823678822013 @default.
- W1482367882 countsByYear W14823678822015 @default.
- W1482367882 countsByYear W14823678822019 @default.
- W1482367882 crossrefType "proceedings-article" @default.
- W1482367882 hasAuthorship W1482367882A5006772038 @default.
- W1482367882 hasAuthorship W1482367882A5012703069 @default.
- W1482367882 hasConcept C111919701 @default.
- W1482367882 hasConcept C153180895 @default.
- W1482367882 hasConcept C154945302 @default.
- W1482367882 hasConcept C28490314 @default.
- W1482367882 hasConcept C41008148 @default.
- W1482367882 hasConcept C53016008 @default.
- W1482367882 hasConcept C61224824 @default.
- W1482367882 hasConceptScore W1482367882C111919701 @default.
- W1482367882 hasConceptScore W1482367882C153180895 @default.
- W1482367882 hasConceptScore W1482367882C154945302 @default.
- W1482367882 hasConceptScore W1482367882C28490314 @default.
- W1482367882 hasConceptScore W1482367882C41008148 @default.
- W1482367882 hasConceptScore W1482367882C53016008 @default.
- W1482367882 hasConceptScore W1482367882C61224824 @default.
- W1482367882 hasLocation W14823678821 @default.
- W1482367882 hasOpenAccess W1482367882 @default.
- W1482367882 hasPrimaryLocation W14823678821 @default.
- W1482367882 hasRelatedWork W1539054241 @default.
- W1482367882 hasRelatedWork W1562793155 @default.
- W1482367882 hasRelatedWork W1971035997 @default.
- W1482367882 hasRelatedWork W2076520961 @default.
- W1482367882 hasRelatedWork W2169670048 @default.
- W1482367882 hasRelatedWork W2394955069 @default.
- W1482367882 hasRelatedWork W2911257984 @default.
- W1482367882 hasRelatedWork W2944273431 @default.
- W1482367882 hasRelatedWork W2954309397 @default.
- W1482367882 hasRelatedWork W2973417394 @default.
- W1482367882 isParatext "false" @default.
- W1482367882 isRetracted "false" @default.
- W1482367882 magId "1482367882" @default.
- W1482367882 workType "article" @default.