Musical notes recognition using artificial neural networks
A system to convert the image of such a score to a sound file is useful in many areas such as: control, robotics, computer vision. The purpose of this paper is to develop a method to obtaining a direct conversion from a musical score to a sound file. The paper presents the design methodology of an a...
Saved in:
| Published in | Annals of DAAAM & proceedings Vol. 20; no. 1; p. 1159 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
DAAAM International Vienna
01.01.2009
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1726-9679 1726-9679 |
Cover
| Abstract | A system to convert the image of such a score to a sound file is useful in many areas such as: control, robotics, computer vision. The purpose of this paper is to develop a method to obtaining a direct conversion from a musical score to a sound file. The paper presents the design methodology of an artificial neural network (ANN) used to recognize musical notes. First, the image of the musical score is captured. One of the main contributions of the authors is identifying and extracting the features of the musical score and exporting them to the ANN. Then, the input/output codes are described, the network is trained and the results of different training methods with different neurons are compared. Key words: musical note, artificial neural network, object features, training algorithm |
|---|---|
| AbstractList | A system to convert the image of such a score to a sound file is useful in many areas such as: control, robotics, computer vision. The purpose of this paper is to develop a method to obtaining a direct conversion from a musical score to a sound file. The paper presents the design methodology of an artificial neural network (ANN) used to recognize musical notes. First, the image of the musical score is captured. One of the main contributions of the authors is identifying and extracting the features of the musical score and exporting them to the ANN. Then, the input/output codes are described, the network is trained and the results of different training methods with different neurons are compared. Key words: musical note, artificial neural network, object features, training algorithm A system to convert the image of such a score to a sound file is useful in many areas such as: control, robotics, computer vision. The purpose of this paper is to develop a method to obtaining a direct conversion from a musical score to a sound file. The paper presents the design methodology of an artificial neural network (ANN) used to recognize musical notes. First, the image of the musical score is captured. One of the main contributions of the authors is identifying and extracting the features of the musical score and exporting them to the ANN. Then, the input/output codes are described, the network is trained and the results of different training methods with different neurons are compared. |
| Audience | Academic |
| Author | Constantin, Adrian Bucur, Gabriela Moise, Adrian |
| Author_xml | – sequence: 1 fullname: Moise, Adrian – sequence: 2 fullname: Constantin, Adrian – sequence: 3 fullname: Bucur, Gabriela |
| BookMark | eNpNkDtPAzEQhC0UJELIf7iO6pDfe6aLIl5SEA3UkfHtnQwXG2yf-PsYQsFOMaPdT1PsOVmEGPCELBlw3RoNZvEvn5F1zm-0jjTKAFuS68c5e2enJsSCuUno4hh88TE09RDGxqbiB-_8D4Jz-rXyFdN7viCng50yrv98RV5ub5639-3u6e5hu9m1I-e6tLLXjDIuh86iQNkpLSkoIXpUrw6cpEyrmoVBS5E6TZHrjvXQSWqsAi1W5PLY-5Hi54y57A8-O5wmGzDOeQ9SaGMoQCWvjuRoJ9z7MMSSrKvq8eBd_cvg637DuQTGAZj4BhnrV_Q |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2009 DAAAM International Vienna |
| Copyright_xml | – notice: COPYRIGHT 2009 DAAAM International Vienna |
| DBID | 7SC 7SP 7TB 8FD FR3 JQ2 L7M L~C L~D |
| DatabaseName | Computer and Information Systems Abstracts Electronics & Communications Abstracts Mechanical & Transportation Engineering Abstracts Technology Research Database Engineering Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional |
| DatabaseTitle | Technology Research Database Computer and Information Systems Abstracts – Academic Mechanical & Transportation Engineering Abstracts Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Engineering Research Database Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional |
| DatabaseTitleList | Technology Research Database |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 1726-9679 |
| EndPage | 1159 |
| ExternalDocumentID | A224712771 |
| GeographicLocations | Austria |
| GeographicLocations_xml | – name: Austria |
| GroupedDBID | 23M 5GY ABDBF ACUHS ALMA_UNASSIGNED_HOLDINGS ESX IAO ITC MK~ PV9 RZL TUS 7SC 7SP 7TB 8FD FR3 JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-g226t-4d610124f8ae3e4856407533de5bc7c40165de539ea0e0c60e2681d78409a5763 |
| ISSN | 1726-9679 |
| IngestDate | Fri Jul 11 10:36:37 EDT 2025 Sat Mar 08 20:15:25 EST 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-g226t-4d610124f8ae3e4856407533de5bc7c40165de539ea0e0c60e2681d78409a5763 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
| PQID | 743699077 |
| PQPubID | 23500 |
| PageCount | 1 |
| ParticipantIDs | proquest_miscellaneous_743699077 gale_infotracacademiconefile_A224712771 |
| PublicationCentury | 2000 |
| PublicationDate | 20090101 |
| PublicationDateYYYYMMDD | 2009-01-01 |
| PublicationDate_xml | – month: 01 year: 2009 text: 20090101 day: 01 |
| PublicationDecade | 2000 |
| PublicationTitle | Annals of DAAAM & proceedings |
| PublicationYear | 2009 |
| Publisher | DAAAM International Vienna |
| Publisher_xml | – name: DAAAM International Vienna |
| SSID | ssj0000495971 |
| Score | 1.7122037 |
| Snippet | A system to convert the image of such a score to a sound file is useful in many areas such as: control, robotics, computer vision. The purpose of this paper is... |
| SourceID | proquest gale |
| SourceType | Aggregation Database |
| StartPage | 1159 |
| SubjectTerms | Analysis Musical notation Neural networks |
| Title | Musical notes recognition using artificial neural networks |
| URI | https://www.proquest.com/docview/743699077 |
| Volume | 20 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1726-9679 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000495971 issn: 1726-9679 databaseCode: ABDBF dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LT4NAEN5ovXgxGjW-swcbDw2G5y71RluoVdsmLcTeyBYW46XVll789c4utNBY4-PCYwME-IaZ79tlZxC65omtR8DbwfuphmJaMXxSakIVakOs5owBY5B_-fbIfWA-jKxRUe1Nzi5Jx7fRx8Z5Jf9BFdoAVzFL9g_Iri4KDbAN-MISEIblrzDuBkOZzqDX991hbeA2--1eR5bREdU02jUgqx2v0-yIQ9xgIFf-c3_wOCxz0iKHcstxnK40hiKurTh3d_o6X-_9bGbccpmGYKXsF9FC2kF7rUuhXupSyLwg1YlSJ1mVl1u-oS13nbr6xUQyPwg8s16KqcVuOd91rx96wdNT6Lsjv2p4b--KKAYmBs2rRitDaxttG5peQTtOo9XwVp1nIGtACEkxvbyt70Kq5An-PtrLCT52MrQO0BafHKK7HCkskcIlpLBEChdI4QwpvETqCAWe6zfvlbxqhfICVDZVzJiInGlmYjNucNO2xFApkOqYW-OIiu-CWLBt1DlTuRoRlesERAMVSpuB-jOOUWUynfAThBM7ZlZCDBqBSqYaYwTUpabFIiMQBEx-im7EM4fCYtMZi1g-pQLOFlm9QkcXp-mUaqcIL19LCP5DDAqxCZ8u5iEwSAKMhNKznw85R7uFuVygSjpb8EvgZOn4KkfoE36XLww |
| linkProvider | EBSCOhost |
| 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=MUSICAL+NOTES+RECOGNITION+USING+ARTIFICIAL+NEURAL+NETWORKS&rft.jtitle=Annals+of+DAAAM+%26+proceedings&rft.au=Moise%2C+A&rft.au=Constantin%2C+A&rft.au=Bucur%2C+G&rft.date=2009-01-01&rft.issn=1726-9679&rft.eissn=1726-9679&rft.volume=20&rft.issue=1&rft.spage=1159&rft.epage=1159&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1726-9679&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1726-9679&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1726-9679&client=summon |