Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques
Saved in:
| Published in: | Expert systems with applications Vol. 211; p. 118636 |
|---|---|
| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
01.01.2023
|
| ISSN: | 0957-4174 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| ArticleNumber | 118636 |
|---|---|
| Author | Prabhakar, Sunil Kumar Lee, Seong-Whan |
| Author_xml | – sequence: 1 givenname: Sunil Kumar surname: Prabhakar fullname: Prabhakar, Sunil Kumar – sequence: 2 givenname: Seong-Whan surname: Lee fullname: Lee, Seong-Whan |
| BookMark | eNp9kLFOwzAQhj0UibbwAkx-gQQ7ie1krEopSEUsZY4u9rl1FZxgp0K8PQllYmA66b__O-m-BZn5ziMhd5ylnHF5f0oxfkKasSxLOS9lLmdkziqhkoKr4posYjwxxhVjak4OT13r4uA0XfV96EAfMdKhoy_nOGZb9AHpuoUYnXUaBtd5Om78gW7sGDj0A90H8NFioOANfUDs6Q4h-Km0R3307uOM8YZcWWgj3v7OJXl73OzXT8nudfu8Xu0SnUs5JA1DnhlhVdkwYNaWHDLMrRBGClNVWkpAU4FtikZrbTLEvCkEGKU0WiN0viTZ5a4OXYwBbd0H9w7hq-asnvTUp3rSU0966oueESr_QNoNP88OAVz7H_oNlQB0IA |
| CitedBy_id | crossref_primary_10_1007_s11042_024_19160_5 crossref_primary_10_3390_info15010015 crossref_primary_10_38159_ehass_2025688 crossref_primary_10_38159_ehass_20256621 crossref_primary_10_1016_j_asoc_2024_111691 crossref_primary_10_3390_electronics13163313 crossref_primary_10_1007_s00500_023_08755_z crossref_primary_10_1016_j_heliyon_2024_e24892 crossref_primary_10_1016_j_ins_2025_122001 crossref_primary_10_1162_COMJ_a_2 crossref_primary_10_1051_e3sconf_202561602012 crossref_primary_10_3390_app132312673 crossref_primary_10_3390_math10234427 crossref_primary_10_7759_s44389_025_04209_9 crossref_primary_10_3390_info14100527 crossref_primary_10_1038_s41598_025_16499_z crossref_primary_10_1016_j_knosys_2024_112242 crossref_primary_10_1109_ACCESS_2023_3244620 crossref_primary_10_1016_j_apacoust_2025_110855 crossref_primary_10_1016_j_eswa_2024_125643 crossref_primary_10_1109_ACCESS_2025_3535411 crossref_primary_10_3390_s24217021 crossref_primary_10_1038_s41598_025_98766_7 crossref_primary_10_1515_comp_2023_0106 crossref_primary_10_1016_j_aej_2025_01_059 crossref_primary_10_1038_s41598_025_05429_8 crossref_primary_10_1038_s41598_025_91203_9 crossref_primary_10_1038_s41598_025_90619_7 crossref_primary_10_3389_fnbot_2025_1568811 crossref_primary_10_20965_jaciii_2025_p0033 crossref_primary_10_2118_217466_PA crossref_primary_10_1007_s00530_025_01962_8 crossref_primary_10_1038_s41598_024_83577_z |
| Cites_doi | 10.1109/ACCESS.2020.3011882 10.1109/TE.2020.2984900 10.3390/electronics10182206 10.1016/j.asoc.2021.107446 10.1109/TSA.2002.800560 10.1016/j.patrec.2017.01.013 10.1007/s10844-017-0464-5 10.1109/ACCESS.2020.2968170 10.1109/TASLP.2022.3156757 10.1155/2021/7182143 10.2478/eletel-2014-0042 10.1155/2019/5803184 10.23919/SPA50552.2020.9241264 10.1109/LSP.2013.2278853 10.1109/MSP.2018.2874383 10.1155/2019/7289314 10.1007/978-3-030-04021-5_26 10.1016/j.eswa.2015.09.018 10.1109/TLA.2016.7437237 10.1109/ACCESS.2016.2612242 10.1155/2021/7824001 10.1155/2021/1651560 10.1016/j.plrev.2017.11.016 10.25046/aj040221 10.3389/fpsyg.2021.760060 10.1155/2021/9959195 10.1109/TBME.2011.2172210 10.1155/2020/4606027 10.1016/j.eij.2012.03.001 10.1007/s11042-020-09643-6 10.1016/j.asoc.2016.12.024 10.1109/78.382426 10.1145/3219819.3219890 10.1155/2021/8861896 10.1155/2021/7629994 10.1109/TR.2018.2847353 10.1016/j.talanta.2014.05.001 10.1155/2021/2348494 10.1155/2021/9298654 10.1155/2021/5515095 10.1109/TSP.2014.2365761 10.1109/TASL.2007.909434 10.1007/3-540-45665-1 10.1109/TCE.2012.6414994 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.eswa.2022.118636 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| ExternalDocumentID | 10_1016_j_eswa_2022_118636 |
| GroupedDBID | --K --M .DC .~1 0R~ 13V 1B1 1RT 1~. 1~5 29G 4.4 457 4G. 5GY 5VS 7-5 71M 8P~ 9DU 9JN 9JO AAAKF AAAKG AABNK AAEDT AAEDW AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AATTM AAXKI AAXUO AAYFN AAYWO AAYXX ABBOA ABFNM ABJNI ABKBG ABMAC ABMVD ABUCO ABUFD ABWVN ABXDB ACDAQ ACGFS ACHRH ACLOT ACNNM ACNTT ACRLP ACRPL ACVFH ACZNC ADBBV ADCNI ADEZE ADJOM ADMUD ADNMO ADTZH AEBSH AECPX AEIPS AEKER AENEX AEUPX AFJKZ AFPUW AFTJW AGHFR AGQPQ AGUBO AGUMN AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIGII AIIUN AIKHN AITUG AKBMS AKRWK AKYEP ALEQD ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU AOUOD APLSM APXCP ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC BNSAS CITATION CS3 DU5 EBS EFJIC EFKBS EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA GBOLZ HAMUX HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 LY1 LY7 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. PQQKQ Q38 R2- ROL RPZ SBC SDF SDG SDP SDS SES SET SEW SPC SPCBC SSB SSD SSL SST SSV SSZ T5K TN5 WUQ XPP ZMT ~G- ~HD |
| ID | FETCH-LOGICAL-c366t-b0e12d5f78b0a0ff81a2e3f55d65d99c66aed9afb4bcccd2ee3b45ad77cefd5c3 |
| ISICitedReferencesCount | 35 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000906598300015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0957-4174 |
| IngestDate | Sat Nov 29 07:06:23 EST 2025 Tue Nov 18 19:58:27 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c366t-b0e12d5f78b0a0ff81a2e3f55d65d99c66aed9afb4bcccd2ee3b45ad77cefd5c3 |
| ParticipantIDs | crossref_primary_10_1016_j_eswa_2022_118636 crossref_citationtrail_10_1016_j_eswa_2022_118636 |
| PublicationCentury | 2000 |
| PublicationDate | 2023-01-00 |
| PublicationDateYYYYMMDD | 2023-01-01 |
| PublicationDate_xml | – month: 01 year: 2023 text: 2023-01-00 |
| PublicationDecade | 2020 |
| PublicationTitle | Expert systems with applications |
| PublicationYear | 2023 |
| References | Nanni (10.1016/j.eswa.2022.118636_b0195) 2017; 88 Duan (10.1016/j.eswa.2022.118636_b0075) 2009 10.1016/j.eswa.2022.118636_b0280 Cheng (10.1016/j.eswa.2022.118636_b0045) 2008; 55 10.1016/j.eswa.2022.118636_b0040 Tadayon (10.1016/j.eswa.2022.118636_b0250) 2020; 63 Chen (10.1016/j.eswa.2022.118636_b0035) 2013; 20 10.1016/j.eswa.2022.118636_b0285 Yang (10.1016/j.eswa.2022.118636_b0290) 2020; 8 10.1016/j.eswa.2022.118636_b0320 Hamel (10.1016/j.eswa.2022.118636_b0115) 2010 10.1016/j.eswa.2022.118636_b0315 Gwardys (10.1016/j.eswa.2022.118636_b0110) 2014; 60 Vincent (10.1016/j.eswa.2022.118636_b0265) 2010; 11 Craig (10.1016/j.eswa.2022.118636_b0060) 2014; 128 Rosner (10.1016/j.eswa.2022.118636_b0220) 2018; 50 Barachant (10.1016/j.eswa.2022.118636_b0010) 2012; 59 Nam (10.1016/j.eswa.2022.118636_b0190) 2018; 36 Sigtia (10.1016/j.eswa.2022.118636_b0240) 2014 Liu (10.1016/j.eswa.2022.118636_b0165) 2021; 80 Nanni (10.1016/j.eswa.2022.118636_b0200) 2016; 45 Reyes (10.1016/j.eswa.2022.118636_b0215) 2016; 14 Tzanetakis (10.1016/j.eswa.2022.118636_b0255) 2002; 10 10.1016/j.eswa.2022.118636_b0030 Senac (10.1016/j.eswa.2022.118636_b0230) 2017 10.1016/j.eswa.2022.118636_b0025 Lee (10.1016/j.eswa.2022.118636_b0140) 2021 10.1016/j.eswa.2022.118636_b0300 Liu (10.1016/j.eswa.2022.118636_b0170) 2021; 10 Nakashika (10.1016/j.eswa.2022.118636_b0185) 2012 Yang (10.1016/j.eswa.2022.118636_b0295) 2018; 67 Cheng (10.1016/j.eswa.2022.118636_b0050) 2021; 29 10.1016/j.eswa.2022.118636_b0305 Li (10.1016/j.eswa.2022.118636_b0150) 2010 Liu (10.1016/j.eswa.2022.118636_b0160) 2019 Goulart (10.1016/j.eswa.2022.118636_b0105) 2012; 13 Lee (10.1016/j.eswa.2022.118636_b0145) 2022; 30 10.1016/j.eswa.2022.118636_b0180 Sheykhivand (10.1016/j.eswa.2022.118636_b0235) 2020; 8 10.1016/j.eswa.2022.118636_b0065 Vyshnav (10.1016/j.eswa.2022.118636_b0270) 2020; 38 10.1016/j.eswa.2022.118636_b0100 Karunakaran (10.1016/j.eswa.2022.118636_b0125) 2018 Hu (10.1016/j.eswa.2022.118636_b0070) 2018; 39 10.1016/j.eswa.2022.118636_b0135 10.1016/j.eswa.2022.118636_b0015 Vaswani (10.1016/j.eswa.2022.118636_b0260) 2017 Whang (10.1016/j.eswa.2022.118636_b0275) 2012 Feng (10.1016/j.eswa.2022.118636_b0085) 2014 10.1016/j.eswa.2022.118636_b0090 Panagakis (10.1016/j.eswa.2022.118636_b0205) 2009 Girsang (10.1016/j.eswa.2022.118636_b0095) 2019; 4 Sakiyama (10.1016/j.eswa.2022.118636_b0225) 2014; 62 10.1016/j.eswa.2022.118636_b0175 10.1016/j.eswa.2022.118636_b0210 Costa (10.1016/j.eswa.2022.118636_b0055) 2017; 52 Kumaraswamy (10.1016/j.eswa.2022.118636_b0130) 2021; 108 10.1016/j.eswa.2022.118636_b0005 Supriya (10.1016/j.eswa.2022.118636_b0245) 2016; 4 10.1016/j.eswa.2022.118636_b0325 Zhang (10.1016/j.eswa.2022.118636_b0310) 2014 Lim (10.1016/j.eswa.2022.118636_b0155) 2012; 58 Holzapfel (10.1016/j.eswa.2022.118636_b0120) 2008; 16 Breuer (10.1016/j.eswa.2022.118636_b0020) 1995; 43 Eerola (10.1016/j.eswa.2022.118636_b0080) 2018; 25 |
| References_xml | – volume: 8 start-page: 139332 year: 2020 ident: 10.1016/j.eswa.2022.118636_b0235 article-title: Recognizing emotions evoked by music using CNN-LSTM networks on EEG signals publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3011882 – volume: 38 start-page: 1 issue: 1 year: 2020 ident: 10.1016/j.eswa.2022.118636_b0270 article-title: Random fourier feature based music-speech classification publication-title: Journal of Intelligent and Fuzzy Systems – start-page: 705 year: 2012 ident: 10.1016/j.eswa.2022.118636_b0275 article-title: Scalable and memory-efficient clustering of large-scale social networks – year: 2014 ident: 10.1016/j.eswa.2022.118636_b0085 – volume: 63 start-page: 299 issue: 4 year: 2020 ident: 10.1016/j.eswa.2022.118636_b0250 article-title: Predicting student performance in an educational game using a hidden Markov model publication-title: IEEE Transactions on Education doi: 10.1109/TE.2020.2984900 – volume: 10 start-page: 2206 year: 2021 ident: 10.1016/j.eswa.2022.118636_b0170 article-title: A middle-level learning feature interaction method with deep learning for multi-feature music genre classification publication-title: Electronics doi: 10.3390/electronics10182206 – volume: 29 issue: 1 year: 2021 ident: 10.1016/j.eswa.2022.118636_b0050 article-title: Automatic music genre classification based on CRNN publication-title: Engineering Letters – start-page: 339 year: 2010 ident: 10.1016/j.eswa.2022.118636_b0115 – volume: 108 year: 2021 ident: 10.1016/j.eswa.2022.118636_b0130 article-title: Deep convolutional neural network for musical genre classification via new self adaptive sea lion optimization publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2021.107446 – start-page: 3240 year: 2014 ident: 10.1016/j.eswa.2022.118636_b0310 article-title: The community detection algorithm based on the node clustering coefficient and the edge clustering coefficient – volume: 10 start-page: 293 issue: 5 year: 2002 ident: 10.1016/j.eswa.2022.118636_b0255 article-title: Music genre classification of audio signals publication-title: IEEE Transactions Speech Audio Processing doi: 10.1109/TSA.2002.800560 – volume: 88 start-page: 49 year: 2017 ident: 10.1016/j.eswa.2022.118636_b0195 article-title: Combining visual and acoustic features for audio classification tasks publication-title: Pattern Recognition Letter doi: 10.1016/j.patrec.2017.01.013 – volume: 50 start-page: 363 issue: 2 year: 2018 ident: 10.1016/j.eswa.2022.118636_b0220 article-title: Automatic music genre classification based on musical instrument track separation publication-title: Journal of Intelligent Information Systems doi: 10.1007/s10844-017-0464-5 – volume: 8 start-page: 19629 year: 2020 ident: 10.1016/j.eswa.2022.118636_b0290 article-title: Parallel recurrent convolutional neural networks-based music genre classification method for mobile devices publication-title: IEEE Access doi: 10.1109/ACCESS.2020.2968170 – volume: 30 start-page: 1173 year: 2022 ident: 10.1016/j.eswa.2022.118636_b0145 article-title: Duration controllable voice conversion via phoneme-based information bottleneck publication-title: IEEE Transactions on Audio Speech and Language Processing doi: 10.1109/TASLP.2022.3156757 – ident: 10.1016/j.eswa.2022.118636_b0025 – ident: 10.1016/j.eswa.2022.118636_b0315 doi: 10.1155/2021/7182143 – start-page: 1375 year: 2009 ident: 10.1016/j.eswa.2022.118636_b0075 article-title: Domain transfer SVM for video concept detection – start-page: 1752 year: 2012 ident: 10.1016/j.eswa.2022.118636_b0185 article-title: Local-feature map integration using convolutional neural networks for music genre classification publication-title: Interspeech – volume: 60 start-page: 321 issue: 4 year: 2014 ident: 10.1016/j.eswa.2022.118636_b0110 article-title: Deep image features in music information retrieval publication-title: International Journal of Electronics and Telecommunications doi: 10.2478/eletel-2014-0042 – volume: 55 start-page: 1254 issue: 12 year: 2008 ident: 10.1016/j.eswa.2022.118636_b0045 article-title: Hardware efficient low-latency architecture for high throughput rate Viterbi decoders publication-title: IEEE Transactions on Circuits and Systems II: Express Briefs – year: 2010 ident: 10.1016/j.eswa.2022.118636_b0150 article-title: Automatic musical pattern feature extraction using convolutional neural network – ident: 10.1016/j.eswa.2022.118636_b0210 doi: 10.1155/2019/5803184 – ident: 10.1016/j.eswa.2022.118636_b0015 doi: 10.23919/SPA50552.2020.9241264 – volume: 20 start-page: 1098 issue: 11 year: 2013 ident: 10.1016/j.eswa.2022.118636_b0035 article-title: High throughput stochastic log-MAP turbo-decoder based on low bits computation publication-title: IEEE Signal Processing Letters doi: 10.1109/LSP.2013.2278853 – volume: 36 start-page: 41 issue: 1 year: 2018 ident: 10.1016/j.eswa.2022.118636_b0190 article-title: Deep learning for audio-based music classification and tagging teaching computers to distinguish Rock from bach publication-title: IEEE Signal Processing Magazine doi: 10.1109/MSP.2018.2874383 – ident: 10.1016/j.eswa.2022.118636_b0180 doi: 10.1155/2019/7289314 – ident: 10.1016/j.eswa.2022.118636_b0005 doi: 10.1007/978-3-030-04021-5_26 – volume: 45 start-page: 108 year: 2016 ident: 10.1016/j.eswa.2022.118636_b0200 article-title: Combining visual and acoustic features for music genre classification publication-title: Expert Systems with Applications doi: 10.1016/j.eswa.2015.09.018 – volume: 39 start-page: 888 issue: 5 year: 2018 ident: 10.1016/j.eswa.2022.118636_b0070 article-title: An automatic music classification method based on hierarchical structure publication-title: Small Microcomputer System – volume: 14 start-page: 893 issue: 2 year: 2016 ident: 10.1016/j.eswa.2022.118636_b0215 article-title: Dense correspondence using local regions with affine transformations publication-title: IEEE Latin America Transactions doi: 10.1109/TLA.2016.7437237 – start-page: 419 year: 2019 ident: 10.1016/j.eswa.2022.118636_b0160 article-title: Two design schemes for LT codes degree distribution by combining degree distribution – volume: 4 start-page: 6554 year: 2016 ident: 10.1016/j.eswa.2022.118636_b0245 article-title: Weighted visibility graph with complex network features in the detection of epilepsy publication-title: IEEE Access doi: 10.1109/ACCESS.2016.2612242 – ident: 10.1016/j.eswa.2022.118636_b0040 doi: 10.1155/2021/7824001 – ident: 10.1016/j.eswa.2022.118636_b0320 doi: 10.1155/2021/1651560 – volume: 25 start-page: 100 year: 2018 ident: 10.1016/j.eswa.2022.118636_b0080 article-title: An integrative review of the enjoyment of sadness associated with music publication-title: Physics of Life Reviews doi: 10.1016/j.plrev.2017.11.016 – volume: 4 start-page: 162 issue: 2 year: 2019 ident: 10.1016/j.eswa.2022.118636_b0095 article-title: Feature selection for musical genre classification using a genetic algorithm publication-title: Advances in Science Technology and Engineering Systems Journal doi: 10.25046/aj040221 – ident: 10.1016/j.eswa.2022.118636_b0285 doi: 10.3389/fpsyg.2021.760060 – ident: 10.1016/j.eswa.2022.118636_b0305 doi: 10.1155/2021/9959195 – volume: 59 start-page: 920 issue: 4 year: 2012 ident: 10.1016/j.eswa.2022.118636_b0010 article-title: Multiclass brain-computer interface classification by Riemannian geometry publication-title: IEEE Transactions on Biomedical Engineering doi: 10.1109/TBME.2011.2172210 – start-page: 6959 year: 2014 ident: 10.1016/j.eswa.2022.118636_b0240 article-title: Improved music feature learning with deep neural networks – ident: 10.1016/j.eswa.2022.118636_b0065 – ident: 10.1016/j.eswa.2022.118636_b0030 doi: 10.1155/2020/4606027 – volume: 13 start-page: 59 issue: 2 year: 2012 ident: 10.1016/j.eswa.2022.118636_b0105 article-title: Exploring different approaches for music genre classification publication-title: Egyptian Informatics Journal doi: 10.1016/j.eij.2012.03.001 – volume: 80 start-page: 7313 year: 2021 ident: 10.1016/j.eswa.2022.118636_b0165 article-title: Bottom-up broadcast neural network for music genre classification publication-title: Multimedia Tools Applictions doi: 10.1007/s11042-020-09643-6 – volume: 52 start-page: 28 year: 2017 ident: 10.1016/j.eswa.2022.118636_b0055 article-title: An evaluation of Convolutional Neural Networks for music classification using spectrograms publication-title: Applied Soft Computing doi: 10.1016/j.asoc.2016.12.024 – volume: 43 start-page: 1313 issue: 5 year: 1995 ident: 10.1016/j.eswa.2022.118636_b0020 article-title: Baum-Welch reestimation formula for coupled sequential machines publication-title: IEEE Transactions on Signal Processing doi: 10.1109/78.382426 – ident: 10.1016/j.eswa.2022.118636_b0300 doi: 10.1145/3219819.3219890 – ident: 10.1016/j.eswa.2022.118636_b0100 doi: 10.1155/2021/8861896 – ident: 10.1016/j.eswa.2022.118636_b0090 doi: 10.1155/2021/7629994 – volume: 67 start-page: 885 issue: 3 year: 2018 ident: 10.1016/j.eswa.2022.118636_b0295 article-title: Ridge and Lasso Regression Models for Cross-Version Defect Prediction publication-title: IEEE Transactions on Reliability doi: 10.1109/TR.2018.2847353 – volume: 128 start-page: 393 year: 2014 ident: 10.1016/j.eswa.2022.118636_b0060 article-title: Application of elastic net and infrared spectroscopy in the discrimination between defective and non-defective roasted coffees publication-title: Talanta doi: 10.1016/j.talanta.2014.05.001 – start-page: 128 year: 2018 ident: 10.1016/j.eswa.2022.118636_b0125 article-title: A scalable hybrid classifier for music genre classification using machine learning concepts and spark – start-page: 1 year: 2017 ident: 10.1016/j.eswa.2022.118636_b0230 article-title: Music feature maps with convolutional neural networks for music genre classification – year: 2021 ident: 10.1016/j.eswa.2022.118636_b0140 article-title: Multi-SpectroGAN: High-diversity and high-fidelity spectrogram generation with adversarial style combination for speech synthesis – volume: 11 start-page: 3371 year: 2010 ident: 10.1016/j.eswa.2022.118636_b0265 article-title: Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion publication-title: Journal of Machine Learning Research – ident: 10.1016/j.eswa.2022.118636_b0280 doi: 10.1155/2021/2348494 – ident: 10.1016/j.eswa.2022.118636_b0325 doi: 10.1155/2021/9298654 – ident: 10.1016/j.eswa.2022.118636_b0175 doi: 10.1155/2021/5515095 – volume: 62 start-page: 6425 issue: 24 year: 2014 ident: 10.1016/j.eswa.2022.118636_b0225 article-title: Oversampled graph laplacian matrix for graph filter banks publication-title: IEEE Transactions on Signal Processing doi: 10.1109/TSP.2014.2365761 – volume: 16 start-page: 424 issue: 2 year: 2008 ident: 10.1016/j.eswa.2022.118636_b0120 article-title: Musical genre classification using nonnegative matrix factorization-based features publication-title: IEEE Transactions on Audio, Speech, and Language Processing doi: 10.1109/TASL.2007.909434 – ident: 10.1016/j.eswa.2022.118636_b0135 doi: 10.1007/3-540-45665-1 – start-page: 1 year: 2009 ident: 10.1016/j.eswa.2022.118636_b0205 article-title: Music genre classification via sparse representations of auditory temporal modulations – start-page: 5998 year: 2017 ident: 10.1016/j.eswa.2022.118636_b0260 article-title: Attention is all you need – volume: 58 start-page: 1262 issue: 4 year: 2012 ident: 10.1016/j.eswa.2022.118636_b0155 article-title: Music-genre classification system based on spectro-temporal features and feature selection publication-title: IEEE Transactions on Consumer Electronics doi: 10.1109/TCE.2012.6414994 |
| SSID | ssj0017007 |
| Score | 2.53798 |
| SourceID | crossref |
| SourceType | Enrichment Source Index Database |
| StartPage | 118636 |
| Title | Holistic Approaches to Music Genre Classification using Efficient Transfer and Deep Learning Techniques |
| Volume | 211 |
| WOSCitedRecordID | wos000906598300015&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 issn: 0957-4174 databaseCode: AIEXJ dateStart: 19950101 customDbUrl: isFulltext: true dateEnd: 99991231 titleUrlDefault: https://www.sciencedirect.com omitProxy: false ssIdentifier: ssj0017007 providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Ja9wwFBZt0kMvbbqRpAs69BYcvEmyjyFMSXMIhaR0bkbL0yTp4Bk8niY_P1o9S2lpDr0YY2Rh_H08yc_vfR9Cn6FkuqwVS4AVMikzTZKq4ixJpZLUeh2zUjuzCXZxUY3H9beQ0F84OwHWttX9fT3_r1CbawZs2zr7CLiHSc0Fc25AN0cDuzn-E_Bns6kTX7YbTNcu5UUcnKGzVZnuwDth2hohj_7S5QtGTkzClga49UtDF8qUYR5VWCc-E28lXxcbKX2rl9wHVejYL7f2Z3yIvx0X1_ynr-m-XLY30yNX4r1VFXQJs3aS_LgOxA05ibxYy0nE5CIzwHv_nRhn8xBVfaQ0HzbUS5_8FsR9PuH2GBZ3Vhkqz49XgzcVs7dWsqG-MJau3TZ2jsbO0fg5nqLdnJHahPDdk6-j8fnwx4mlvrU-PnlosPK1gNtPsraJWduNXO2hF-EzAp94-F-hJ9C-Ri-jRQcOEfsNmkQ24BUbcD_Djg3YsQFvsgE7NuCBDTiyARs2YMsGHNmAV2x4i75_GV2dniXBWyORBaV9IlLIckU0q0TKU62rjOdQaEIUJaquJaUcVM21KIWUUuUAhSgJV4xJ0IrI4h3aaWct7COcAqmUWW-JWSlLJWueUSFoplkpilSk-gBl8WU1MgjPW_-TafNnmA7Q0XDP3Muu_GX04aNGv0fPV5z9gHb6bgkf0TP5q79ZdJ8CLx4AxBWBlw |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Holistic+Approaches+to+Music+Genre+Classification+using+Efficient+Transfer+and+Deep+Learning+Techniques&rft.jtitle=Expert+systems+with+applications&rft.au=Prabhakar%2C+Sunil+Kumar&rft.au=Lee%2C+Seong-Whan&rft.date=2023-01-01&rft.issn=0957-4174&rft.volume=211&rft.spage=118636&rft_id=info:doi/10.1016%2Fj.eswa.2022.118636&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_eswa_2022_118636 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0957-4174&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0957-4174&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0957-4174&client=summon |