| Author dc.contributor.author | Zoltán, Gera | |
| Availability Date dc.date.accessioned | 2022-06-29T08:03:32Z | |
| Availability Date dc.date.available | 2022-06-29T08:03:32Z | |
| Release dc.date.issued | 2009 | |
| uri dc.identifier.uri | http://hdl.handle.net/10831/69100 | |
| Abstract dc.description.abstract | Recognizing different features of a waveform to later recompose the music that was originally present in the signal is a difficult task. There are nu- merous fields of application where these techniques are known to be useful including music authoring, digitizer design, automatic music transcription. There are many different methods that can be used for this purpose giving somehow inadequate quality regarding noise, polyphony or time- / frequency localization compared to the human auditory system. In this article, I will show a new filter design method specifically designed to be aware of human perception features. I will also show the way how a complete filter bank can be assembled and used for melody recognition in real time. Finally, I will point out the benefits of this filter design compared to other methods. | |
| Language dc.language | Angol | |
| Title dc.title | Filter Bank Design for Melody Recognition | |
| Type dc.type | folyóiratcikk | |
| Date Change dc.date.updated | 2022-06-29T07:57:46Z | |
| Scope dc.format.page | 159-175 | |
| MTMT ID dc.identifier.mtmt | 3061956 | |
| Issue Number dc.identifier.issue | 1 | |
| abbreviated journal dc.identifier.jabbrev | ACTA CYBERN-SZEGED | |
| Journal dc.identifier.jtitle | ACTA CYBERNETICA | |
| Volume Number dc.identifier.volume | 19 | |
| Release Date dc.description.issuedate | 2009 | |
| department of Author dc.contributor.institution | PhD Informatika Doktori Iskola | |
| department of Author dc.contributor.institution | Programozási Nyelvek és Fordítóprogramok Tanszék | |
| Author institution dc.contributor.department | PhD Informatika Doktori Iskola |
