Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217269546> ?p ?o ?g. }
Showing items 1 to 79 of
79
with 100 items per page.
- W3217269546 abstract "Music recommendation and classification systems are an area of interest of digital signal processing and digital music processing. In this study by using digital signal processing techniques and autoencoders, music features are extracted and then with these features music classification and clustering has been done, and with the results music recommendation has been made. Obtained results are compared with each other. In the study, GTZAN dataset has been used. Purpose of this study is to compare the result feature extraction with auto encoders and digital signal processing techniques. For digital signal processing, used methods are as following: Mel Frequency Cepstral Coefficients (MFCC) and it's derivative, Zero Crossing Rate, Spectral Bandwidth, Spectral Rolloff, Spectral Centroid, Spectral Contrast, Spectral Flatness, RMS (Root Mean Square Energy), poly features, Chroma CENS, Chroma CQT, Chroma STFT, tonnetz, Wavelet etc. For the classification part MLP Classifier, Logistic Regression, Random Forest Classifier, Linear Discriminant Analysis, K-Neighbors Classifier, SVM, Naive Bayes, Gradient Boosting Classifier, Ada Boost Classifier used for classifying the data." @default.
- W3217269546 created "2021-12-06" @default.
- W3217269546 creator A5003538027 @default.
- W3217269546 creator A5027141502 @default.
- W3217269546 creator A5034591145 @default.
- W3217269546 creator A5061586060 @default.
- W3217269546 creator A5065246490 @default.
- W3217269546 creator A5089778692 @default.
- W3217269546 date "2021-10-06" @default.
- W3217269546 modified "2023-10-10" @default.
- W3217269546 title "Music Genre Classification Using Acoustic Features and Autoencoders" @default.
- W3217269546 cites W1835965142 @default.
- W3217269546 cites W2070493638 @default.
- W3217269546 cites W2485020921 @default.
- W3217269546 cites W2725749597 @default.
- W3217269546 cites W2902758295 @default.
- W3217269546 cites W3009221956 @default.
- W3217269546 cites W2121118007 @default.
- W3217269546 doi "https://doi.org/10.1109/asyu52992.2021.9598979" @default.
- W3217269546 hasPublicationYear "2021" @default.
- W3217269546 type Work @default.
- W3217269546 sameAs 3217269546 @default.
- W3217269546 citedByCount "1" @default.
- W3217269546 crossrefType "proceedings-article" @default.
- W3217269546 hasAuthorship W3217269546A5003538027 @default.
- W3217269546 hasAuthorship W3217269546A5027141502 @default.
- W3217269546 hasAuthorship W3217269546A5034591145 @default.
- W3217269546 hasAuthorship W3217269546A5061586060 @default.
- W3217269546 hasAuthorship W3217269546A5065246490 @default.
- W3217269546 hasAuthorship W3217269546A5089778692 @default.
- W3217269546 hasConcept C104267543 @default.
- W3217269546 hasConcept C12267149 @default.
- W3217269546 hasConcept C146599234 @default.
- W3217269546 hasConcept C151989614 @default.
- W3217269546 hasConcept C153180895 @default.
- W3217269546 hasConcept C154945302 @default.
- W3217269546 hasConcept C28490314 @default.
- W3217269546 hasConcept C41008148 @default.
- W3217269546 hasConcept C52001869 @default.
- W3217269546 hasConcept C52622490 @default.
- W3217269546 hasConcept C554190296 @default.
- W3217269546 hasConcept C69738355 @default.
- W3217269546 hasConcept C73555534 @default.
- W3217269546 hasConcept C76155785 @default.
- W3217269546 hasConcept C88485024 @default.
- W3217269546 hasConcept C95623464 @default.
- W3217269546 hasConceptScore W3217269546C104267543 @default.
- W3217269546 hasConceptScore W3217269546C12267149 @default.
- W3217269546 hasConceptScore W3217269546C146599234 @default.
- W3217269546 hasConceptScore W3217269546C151989614 @default.
- W3217269546 hasConceptScore W3217269546C153180895 @default.
- W3217269546 hasConceptScore W3217269546C154945302 @default.
- W3217269546 hasConceptScore W3217269546C28490314 @default.
- W3217269546 hasConceptScore W3217269546C41008148 @default.
- W3217269546 hasConceptScore W3217269546C52001869 @default.
- W3217269546 hasConceptScore W3217269546C52622490 @default.
- W3217269546 hasConceptScore W3217269546C554190296 @default.
- W3217269546 hasConceptScore W3217269546C69738355 @default.
- W3217269546 hasConceptScore W3217269546C73555534 @default.
- W3217269546 hasConceptScore W3217269546C76155785 @default.
- W3217269546 hasConceptScore W3217269546C88485024 @default.
- W3217269546 hasConceptScore W3217269546C95623464 @default.
- W3217269546 hasLocation W32172695461 @default.
- W3217269546 hasOpenAccess W3217269546 @default.
- W3217269546 hasPrimaryLocation W32172695461 @default.
- W3217269546 hasRelatedWork W2030316446 @default.
- W3217269546 hasRelatedWork W2057876181 @default.
- W3217269546 hasRelatedWork W2079988864 @default.
- W3217269546 hasRelatedWork W2383152411 @default.
- W3217269546 hasRelatedWork W2765502018 @default.
- W3217269546 hasRelatedWork W2769215349 @default.
- W3217269546 hasRelatedWork W2782835988 @default.
- W3217269546 hasRelatedWork W3005023910 @default.
- W3217269546 hasRelatedWork W3186851455 @default.
- W3217269546 hasRelatedWork W40124310 @default.
- W3217269546 isParatext "false" @default.
- W3217269546 isRetracted "false" @default.
- W3217269546 magId "3217269546" @default.
- W3217269546 workType "article" @default.