1 / 14

Musical Feature Detection

Musical Feature Detection. (work in progress). Anton Eliens. Musical Feature Detection. Introduction Architecture Extraction Query facilities Validation: case study Open problems Conclusions. Introduction. gathering. query. description. similarity. extraction. Architecture.

lukas
Download Presentation

Musical Feature Detection

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Musical Feature Detection (work in progress) Anton Eliens Musical Feature Detection in ACOI

  2. Musical Feature Detection • Introduction • Architecture • Extraction • Query facilities • Validation: case study • Open problems • Conclusions Musical Feature Detection in ACOI

  3. Introduction gathering query description similarity extraction Musical Feature Detection in ACOI

  4. Architecture Musical Feature Detection in ACOI

  5. Extraction- the anatomy of a midi file Musical Feature Detection in ACOI

  6. detector song; to get the filename detector lyrics; extracts lyrics detector melody; extracts melody atom str name; atom str text; atom str note; midi: song; song: file lyrics melody; file: name; lyrics: text*; melody: note*; Feature grammar Musical Feature Detection in ACOI

  7. int melodyDetector(tree *pt, list *tks ){ char buf[1024]; char* _result; void* q = _query; int idq = 0; idq = query_eval(q,"X:melody(X)"); while ((_result = query_result(q,idq)) ) { printf("note: \%s\n",_result); putAtom(tks,"note",_result); } return SUCCESS; } Melody detector embedded logic Musical Feature Detection in ACOI

  8. V1 := newoid(); midi_song.insert(oid(V0),oid(V1)); V2 := newoid(); song_file.insert(oid(V1),oid(V2)); file_name.insert(oid(V2),"kortjakje"); song_lyrics.insert(oid(V1),oid(V2)); lyrics_text.insert(oid(V2),"e"); lyrics_text.insert(oid(V2),"per-"); lyrics_text.insert(oid(V2),"sonne"); lyrics_text.insert(oid(V2),"Moi"); lyrics_text.insert(oid(V2),"je"); lyrics_text.insert(oid(V2),"dis"); lyrics_text.insert(oid(V2),"que"); lyrics_text.insert(oid(V2),"les"); lyrics_text.insert(oid(V2),"bon-"); lyrics_text.insert(oid(V2),"bons"); lyrics_text.insert(oid(V2),"Val-"); lyrics_text.insert(oid(V2),"ent"); song_melody.insert(oid(V1),oid(V2)); melody_note.insert(oid(V2),"a-2"); melody_note.insert(oid(V2),"a-2"); melody_note.insert(oid(V2),"g-2"); melody_note.insert(oid(V2),"g-2"); melody_note.insert(oid(V2),"f-2"); melody_note.insert(oid(V2),"f-2"); melody_note.insert(oid(V2),"e-2"); melody_note.insert(oid(V2),"e-2"); melody_note.insert(oid(V2),"d-2"); melody_note.insert(oid(V2),"d-2"); melody_note.insert(oid(V2),"e-2"); melody_note.insert(oid(V2),"c-2"); Monet updates Kortjakje.mid Musical Feature Detection in ACOI

  9. extraction Musical Feature Detection in ACOI

  10. Query Musical Feature Detection in ACOI

  11. Case study Kortjakje Musical Feature Detection in ACOI

  12. Representation Song: kortjakje Composer: Who cares. Melody: c c g g a a g g f f e e d d c Score: Musical Feature Detection in ACOI

  13. Kortjakje variations Mozart XII variations Musical Feature Detection in ACOI

  14. Conclusions Musical Feature Detection in ACOI

More Related