Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010120876> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W3010120876 endingPage "107289" @default.
- W3010120876 startingPage "107289" @default.
- W3010120876 abstract "Abstract Language Identification (LID) is accurate identification of the unknown language by comparison of speech biometrics of test speech sample and language models accumulated beforehand. This paper presents and encourages the use of hybrid robust feature extraction techniques for spoken language identification (LID) system. In the feature extraction stage, different techniques are applied individually such as Mel frequency cepstral coefficients (MFCCs), perceptual linear prediction features (PLP), relative perceptual linear prediction features (RASTA-PLP). Later, performance of our LID system based on several combinations of the different features (hybrid features) are investigated such as MFCC, PLP, combined with their 1st order derivatives, MFCC + RASTA-PLP, MFCC + SDC (Shifted delta cepstral coefficients). Language identification phase or classification utilizes feed forward back-propagation neural network (FFBPNN) and comparison is based on two learning algorithms: the Levenberg–Marquardt “trainlm” and the scaled conjugate gradient “trainscg”. A comparative analysis in terms of performance is done between different hybrid feature extraction techniques and their individual counterparts. Results clearly indicates that improved performance is obtained with hybrid features with “trainlm” learning algorithm as compared to their individual counterparts. The results are very promising with MFCC-RASTA-PLP hybrid feature extraction technique in comparison to the other hybrid feature extraction techniques with overall accuracy of 94.6% and a minimum test error rate of 0.10. The efficiency of proposed hybrid approaches is determined by simulating several experiments on a user defined language database of speech signals in the working platform of MATLAB." @default.
- W3010120876 created "2020-03-13" @default.
- W3010120876 creator A5046019318 @default.
- W3010120876 creator A5051433588 @default.
- W3010120876 creator A5052287679 @default.
- W3010120876 date "2020-07-01" @default.
- W3010120876 modified "2023-10-18" @default.
- W3010120876 title "A Language Identification System using Hybrid Features and Back-Propagation Neural Network" @default.
- W3010120876 cites W2104457544 @default.
- W3010120876 cites W2190101731 @default.
- W3010120876 cites W2517166312 @default.
- W3010120876 cites W2768725708 @default.
- W3010120876 cites W2773080983 @default.
- W3010120876 cites W2773160170 @default.
- W3010120876 cites W2788462052 @default.
- W3010120876 cites W2902272159 @default.
- W3010120876 cites W2939339014 @default.
- W3010120876 cites W2941481989 @default.
- W3010120876 cites W2976146944 @default.
- W3010120876 doi "https://doi.org/10.1016/j.apacoust.2020.107289" @default.
- W3010120876 hasPublicationYear "2020" @default.
- W3010120876 type Work @default.
- W3010120876 sameAs 3010120876 @default.
- W3010120876 citedByCount "29" @default.
- W3010120876 countsByYear W30101208762020 @default.
- W3010120876 countsByYear W30101208762021 @default.
- W3010120876 countsByYear W30101208762022 @default.
- W3010120876 countsByYear W30101208762023 @default.
- W3010120876 crossrefType "journal-article" @default.
- W3010120876 hasAuthorship W3010120876A5046019318 @default.
- W3010120876 hasAuthorship W3010120876A5051433588 @default.
- W3010120876 hasAuthorship W3010120876A5052287679 @default.
- W3010120876 hasConcept C116834253 @default.
- W3010120876 hasConcept C129792486 @default.
- W3010120876 hasConcept C154945302 @default.
- W3010120876 hasConcept C155032097 @default.
- W3010120876 hasConcept C195324797 @default.
- W3010120876 hasConcept C28490314 @default.
- W3010120876 hasConcept C41008148 @default.
- W3010120876 hasConcept C50644808 @default.
- W3010120876 hasConcept C59822182 @default.
- W3010120876 hasConcept C86803240 @default.
- W3010120876 hasConceptScore W3010120876C116834253 @default.
- W3010120876 hasConceptScore W3010120876C129792486 @default.
- W3010120876 hasConceptScore W3010120876C154945302 @default.
- W3010120876 hasConceptScore W3010120876C155032097 @default.
- W3010120876 hasConceptScore W3010120876C195324797 @default.
- W3010120876 hasConceptScore W3010120876C28490314 @default.
- W3010120876 hasConceptScore W3010120876C41008148 @default.
- W3010120876 hasConceptScore W3010120876C50644808 @default.
- W3010120876 hasConceptScore W3010120876C59822182 @default.
- W3010120876 hasConceptScore W3010120876C86803240 @default.
- W3010120876 hasLocation W30101208761 @default.
- W3010120876 hasOpenAccess W3010120876 @default.
- W3010120876 hasPrimaryLocation W30101208761 @default.
- W3010120876 hasRelatedWork W1532828117 @default.
- W3010120876 hasRelatedWork W2144927638 @default.
- W3010120876 hasRelatedWork W2157746493 @default.
- W3010120876 hasRelatedWork W2159443810 @default.
- W3010120876 hasRelatedWork W2360137357 @default.
- W3010120876 hasRelatedWork W2566625450 @default.
- W3010120876 hasRelatedWork W2807555463 @default.
- W3010120876 hasRelatedWork W3101277219 @default.
- W3010120876 hasRelatedWork W3162179327 @default.
- W3010120876 hasRelatedWork W4206400463 @default.
- W3010120876 hasVolume "164" @default.
- W3010120876 isParatext "false" @default.
- W3010120876 isRetracted "false" @default.
- W3010120876 magId "3010120876" @default.
- W3010120876 workType "article" @default.