def choose_accidental(fv, note):
accidental = ''
scores = {
globals.NATURAL:cosine_similarity(natural,fv),
globals.SHARP:cosine_similarity(sharp,fv),
globals.FLAT:cosine_similarity(flat,fv)
}
sorted_scores = sorted(scores.iteritems(), key=lambda (k,v):(v,k), reverse=True)
if(len(sorted_scores) > 1):
tops = selection.select_top_same_scores(sorted_scores)
if(globals.NATURAL in tops):
accidental = globals.NATURAL
else:
accidental = random.choice(tops)
else:
accidental = sorted_scores[0]
if((accidental == globals.FLAT) and (note == 'c' or note == 'f')):
accidental = globals.NATURAL
if((accidental == globals.SHARP) and (note == 'b' or note == 'e')):
accidental = globals.NATURAL
return accidental
def _score_notes_no_octave(fv):
scores = {
'a':cosine_similarity(globals.a,fv),
'b':cosine_similarity(globals.b,fv),
'c':cosine_similarity(globals.c,fv),
'd':cosine_similarity(globals.d,fv),
'e':cosine_similarity(globals.e,fv),
'f':cosine_similarity(globals.f,fv),
'g':cosine_similarity(globals.g,fv),
}
return sorted(scores.iteritems(), key=lambda (k,v):(v,k), reverse=True)
def _score_notes(fv):
scores = {
'a3':cosine_similarity(globals.a0,fv),
'b3':cosine_similarity(globals.b0,fv),
'c4':cosine_similarity(globals.c0,fv),
'd4':cosine_similarity(globals.d0,fv),
'e4':cosine_similarity(globals.e0,fv),
'f4':cosine_similarity(globals.f0,fv),
'g4':cosine_similarity(globals.g0,fv),
'a4':cosine_similarity(globals.a1,fv),
'b4':cosine_similarity(globals.b1,fv),
'c5':cosine_similarity(globals.c1,fv),
'd5':cosine_similarity(globals.d1,fv),
'e5':cosine_similarity(globals.e1,fv),
'f5':cosine_similarity(globals.f1,fv),
'g5':cosine_similarity(globals.g1,fv),
'a2':cosine_similarity(globals.a2,fv),
'b2':cosine_similarity(globals.b2,fv),
'c3':cosine_similarity(globals.c2,fv),
'd3':cosine_similarity(globals.d2,fv),
'e3':cosine_similarity(globals.e2,fv),
'f3':cosine_similarity(globals.f2,fv),
'g3':cosine_similarity(globals.g2,fv),
'c2':cosine_similarity(globals.c3,fv),
'd2':cosine_similarity(globals.d3,fv),
'e2':cosine_similarity(globals.e3,fv),
'f2':cosine_similarity(globals.f3,fv),
'g2':cosine_similarity(globals.g3,fv)
}
return sorted(scores.iteritems(), key=lambda (k,v):(v,k), reverse=True)
