diff --git a/tests/fixtures/chart_crlf.txt b/tests/fixtures/chart_crlf.txt
new file mode 100644
index 0000000..731297a
--- /dev/null
+++ b/tests/fixtures/chart_crlf.txt
@@ -0,0 +1,36 @@
+#TITLE:Placeholder Chart
+#ARTIST:Test Artist
+#LANGUAGE:English
+#YEAR:2000
+#CREATOR:songtrace tests
+#GENRE:Test
+#COVER:Test Artist - Placeholder Chart [CO].jpg
+#MP3:Test Artist - Placeholder Chart.mp3
+#VIDEO:Test Artist - Placeholder Chart.mp4
+#BPM:217,98
+#GAP:4880
+#MEDLEYSTARTBEAT:113
+#MEDLEYENDBEAT:240
+: 0 3 16 ah
+: 5 3 20  ah
+: 11 3 23  la
+: 17 3 16  la
+: 22 28 15  ah
+: 51 2 16  doo
+: 54 31 16 ~
+- 95  
+F 113 3 18 la
+F 117 3 21  la
+F 121 3 21  la
+* 125 3 21  doo
+* 129 12 19 ~
+- 150
+: 155 4 12 Na
+R 160 4 0  na
+G 165 4 0  na
+: 170 6 14  la
+- 190
+: 194 3 16 La
+: 198 3 18  la
+* 202 10 20  ah
+E
diff --git a/tests/fixtures/chart_latin1.txt b/tests/fixtures/chart_latin1.txt
new file mode 100644
index 0000000..19a0c03
--- /dev/null
+++ b/tests/fixtures/chart_latin1.txt
@@ -0,0 +1,21 @@
+#TITLE:Café Placeholder
+#ARTIST:Tést Artist
+#LANGUAGE:English
+#GENRE:Test
+#YEAR:2000
+#MP3:Tést Artist - Café Placeholder.mp3
+#CREATOR:songtrace tests
+#BPM:256
+#GAP:49673
+: 0 4 2 Doo
+: 6 4 4  doo
+: 12 8 5  laé
+- 28 30
+: 32 4 0 Na
+: 38 4 -2  na
+* 44 12 -9  ah
+- 64
+F 70 4 3 La
+: 76 6 -5  la
+: 84 10 -9 ~
+E
diff --git a/tests/fixtures/sanctuary.txt b/tests/fixtures/sanctuary.txt
deleted file mode 100755
index b90e0c5..0000000
--- a/tests/fixtures/sanctuary.txt
+++ /dev/null
@@ -1,472 +0,0 @@
-#TITLE:Sanctuary
-#ARTIST:Utada Hikaru
-#LANGUAGE:English
-#YEAR:2009
-#CREATOR:Subkei
-#GENRE:J-Pop
-#COVER:Utada Hikaru - Sanctuary [CO].jpg
-#MP3:Utada Hikaru - Sanctuary.mp3
-#VIDEO:Utada Hikaru - Sanctuary.mp4
-#BPM:217,98
-#GAP:4880
-#MEDLEYSTARTBEAT:2471
-#MEDLEYENDBEAT:2990
-: 0 3 16 ah
-: 5 3 20  ah
-: 11 3 23  ah
-: 17 3 16  ah
-: 22 28 15  ah
-: 51 2 16  ah
-: 54 31 16 ~
-- 95
-F 113 3 18 wonk
-F 117 3 21  uoy
-F 121 3 21  naht
-F 125 3 21  snoit
-F 129 3 21 cef
-F 133 3 18 fa
-F 137 3 18  erom
-F 144 2 18  deen
-F 147 4 18  I
-- 180
-: 425 3 16 In
-: 429 3 21  you
-: 433 2 20 ~
-: 436 4 16 ~
-: 441 2 18  and
-: 445 4 20  I
-: 451 4 18 ~
-- 459
-: 461 3 16 there's
-: 465 3 16  a
-: 469 5 20  new
-: 475 4 23  land
-: 481 4 16 ~
-: 487 27 15 ~
-: 515 4 16 ~
-: 521 17 16 ~
-: 539 1 18 ~
-: 541 3 20 ~
-- 547
-: 549 1 16 An
-: 551 2 18 ~
-: 556 3 18 gels
-: 560 4 18  in
-: 565 7 20  flight
-: 573 2 18 ~
-- 576
-F 578 2 18 wonk
-F 581 3 21  uoy
-F 585 3 21  naht
-F 589 3 21  snoit
-F 593 3 21 cef
-F 597 3 18 fa
-F 601 3 18  erom
-F 608 2 18  deen
-F 611 3 18  I
-- 615
-: 617 1 16 My
-: 620 1 21  sanc
-: 624 2 20 tu
-: 628 4 16 a
-: 634 8 18 ry
-- 646
-: 648 3 16 my
-: 653 1 21  sanc
-: 657 2 20 tu
-: 661 3 16 a
-: 665 4 16 ry
-: 670 2 18 ~
-F 674 4 13  yeah
-- 680
-: 682 2 16 Where
-: 686 1 21  fears
-: 689 1 20 ~
-: 691 5 16 ~
-: 697 1 18  and
-* 701 4 20  lies
-* 707 4 18 ~
-- 715
-: 717 3 16 melt
-: 721 3 16  a
-: 725 4 20 way
-: 732 4 23 ~
-: 737 3 16 ~
-: 742 28 15 ~
-: 771 3 16 ~
-: 775 19 16 ~
-: 795 1 18 ~
-: 797 3 20 ~
-- 804
-: 806 1 16 Mu
-: 808 2 18 ~
-: 812 3 18 sic
-: 817 3 18  will
-: 822 7 20  tie
-: 830 2 18 ~
-- 833
-F 835 1 18 wonk
-F 837 3 21  uoy
-F 841 3 21  naht
-F 845 3 21  snoit
-F 849 3 21 cef
-F 853 3 18 fa
-F 857 3 18  erom
-F 864 2 18  deen
-F 867 3 18  I
-- 871
-: 873 2 16 What's
-: 877 1 21  left
-: 881 1 20  of
-: 884 3 16  me
-: 888 1 16 ~
-: 890 7 18 ~
-- 903
-: 905 2 16 What's
-: 909 1 21  left
-: 913 1 20  of
-: 916 3 16  me
-: 921 2 16 ~
-: 925 3 18 ~
-: 933 24 13 now?
-- 986
-: 1069 3 13 I
-: 1074 6 16  watch
-: 1082 3 16  you
-: 1087 9 18 ~
-- 1102
-: 1105 3 18 fast
-: 1109 3 20 ~
-* 1117 2 13  a
-* 1122 5 16 sleep
-: 1129 3 18 ~
-: 1133 15 16 ~
-- 1162
-: 1189 3 20 All
-: 1193 6 21 ~
-: 1201 3 18  I
-: 1205 6 20 ~
-: 1213 5 16  fear
-: 1220 20 13 ~
-- 1246
-: 1249 2 11 means
-: 1255 7 13  no
-: 1266 5 18 thing
-: 1273 41 20 ~
-- 1319
-: 1321 2 16 In
-: 1325 2 21  you
-: 1328 2 20 ~
-: 1332 3 16 ~
-: 1337 2 18  and
-: 1341 4 20  I
-: 1347 4 18 ~
-- 1355
-: 1357 3 16 there's
-: 1361 3 16  a
-* 1365 5 20  new
-: 1371 4 23  land
-: 1377 4 16 ~
-: 1383 27 15 ~
-: 1411 4 16 ~
-: 1417 17 16 ~
-: 1435 1 18 ~
-: 1437 3 20 ~
-- 1442
-: 1444 1 16 An
-: 1446 2 18 ~
-: 1452 3 18 gels
-: 1457 3 18  in
-: 1462 6 20  flight
-: 1469 2 18 ~
-- 1472
-F 1474 1 18 wonk
-F 1476 3 21  uoy
-F 1480 3 21  naht
-F 1484 3 21  snoit
-F 1488 3 21 cef
-F 1492 3 18 fa
-F 1496 3 18  erom
-F 1503 2 18  deen
-F 1506 3 18  I
-- 1511
-: 1513 1 16 My
-: 1516 1 21  sanc
-: 1520 2 20 tu
-: 1524 4 16 a
-: 1530 8 18 ry
-- 1541
-: 1543 3 16 my
-: 1548 1 21  sanc
-: 1552 2 20 tu
-: 1556 3 16 a
-: 1560 4 16 ry
-: 1565 2 18 ~
-F 1570 3 13  yeah
-- 1575
-: 1577 2 16 Where
-* 1581 1 21  fears
-* 1584 1 20 ~
-: 1586 5 16 ~
-: 1592 1 18  and
-: 1596 4 20  lies
-: 1602 4 18 ~
-- 1611
-: 1613 3 16 melt
-: 1617 3 16  a
-: 1621 4 20 way
-: 1628 4 23 ~
-: 1633 3 16 ~
-: 1638 27 15 ~
-: 1666 4 16 ~
-: 1672 18 16 ~
-: 1691 1 18 ~
-: 1693 3 20 ~
-- 1699
-: 1701 1 16 Mu
-: 1703 2 18 ~
-: 1707 3 18 sic
-: 1712 3 18  will
-: 1717 7 20  tie
-: 1725 2 18 ~
-- 1728
-F 1730 2 18 wonk
-F 1733 3 21  uoy
-F 1737 3 21  naht
-F 1741 3 21  snoit
-F 1745 3 21 cef
-F 1749 3 18 fa
-F 1753 3 18  erom
-F 1760 2 18  deen
-F 1763 3 18  I
-- 1767
-: 1769 2 16 What's
-: 1773 1 21  left
-: 1777 1 20  of
-: 1780 3 16  me
-: 1785 1 16 ~
-: 1787 7 18 ~
-- 1798
-: 1800 2 16 What's
-: 1804 1 21  left
-* 1808 1 20  of
-* 1811 3 16  me
-: 1815 1 16 ~
-: 1817 7 18 ~
-- 1831
-F 1834 2 21 snwod
-F 1837 2 20  dna
-F 1841 3 18  spu
-F 1845 3 20  y
-F 1849 3 20 nam
-F 1853 3 18  os
-- 1870
-: 1897 3 20 My
-* 1901 2 20  heart's
-: 1904 1 18  a
-: 1906 3 20  bat
-: 1910 3 21 tle
-: 1914 5 21 ground
-- 1926
-F 1929 2 16 snoit
-F 1932 6 16 om
-F 1941 2 18 e
-F 1945 2 18 ~
-F 1948 2 18  eurt
-F 1952 2 18  deen
-F 1955 2 16  I
-- 1971
-F 1987 3 18 wonk
-F 1991 3 21  uoy
-F 1995 3 21  naht
-F 1999 3 21  snoit
-F 2003 3 21 cef
-F 2007 3 18 fa
-F 2011 3 18  erom
-F 2018 2 18  deen
-F 2021 3 18  I
-- 2038
-F 2059 2 16 snoit
-F 2062 6 16 om
-F 2070 3 18 e
-F 2075 2 18 ~
-F 2078 2 18  eurt
-F 2082 2 18  deen
-F 2085 2 16 I
-- 2116
-: 2219 3 13 You
-: 2224 6 16  show
-: 2232 3 16  me
-: 2237 7 18 ~
-- 2252
-: 2255 3 18 how
-: 2259 3 20 ~
-: 2267 2 13  to
-: 2272 5 16  see
-- 2282
-* 2284 3 13 That
-* 2289 6 16  no
-* 2297 3 16 thing
-* 2302 5 18 ~
-- 2313
-: 2316 3 13 is
-: 2321 3 16  whole
-: 2325 2 15 ~
-: 2328 2 13  and
-: 2331 1 13 ~
-: 2333 2 15 ~
-- 2338
-: 2340 3 20 no
-: 2344 6 21 ~
-: 2352 3 18 ~
-: 2356 6 20 ~
-: 2364 5 16 thing
-: 2371 12 13 ~
-- 2395
-: 2399 2 11 is
-: 2403 9 13  bro
-: 2416 5 18 ken
-: 2423 41 20 ~
-- 2470
-: 2472 2 16 In
-* 2476 2 21  you
-* 2479 2 20 ~
-* 2483 3 16 ~
-: 2488 2 18  and
-: 2492 4 20  I
-: 2499 3 18 ~
-- 2506
-: 2508 3 16 There's
-: 2512 3 16  a
-: 2516 5 20  new
-: 2522 4 23  land
-: 2528 4 16 ~
-: 2534 27 15 ~
-: 2562 4 16 ~
-: 2568 17 16 ~
-: 2586 1 18 ~
-: 2588 3 20 ~
-- 2593
-: 2595 1 16 An
-: 2597 2 18 ~
-: 2603 3 18 gels
-: 2608 3 18  in
-: 2613 6 20  flight
-: 2620 2 18 ~
-- 2623
-F 2625 2 18 wonk
-F 2628 3 21  uoy
-F 2632 3 21  naht
-F 2636 3 21  snoit
-F 2640 3 21 cef
-F 2644 3 18 fa
-F 2648 3 18  erom
-F 2655 2 18  deen
-F 2658 2 18  I
-- 2661
-: 2663 2 16 My
-: 2668 1 21  sanc
-: 2672 1 20 tu
-: 2675 4 16 a
-: 2681 7 18 ry
-- 2693
-: 2695 3 16 My
-: 2700 1 21  sanc
-: 2704 2 20 tu
-: 2708 3 16 a
-: 2712 4 16 ry
-: 2717 2 18 ~
-F 2721 4 13  yeah
-- 2726
-: 2728 2 16 Where
-: 2732 1 21  fears
-: 2735 1 20 ~
-: 2737 5 16 ~
-: 2743 1 18  and
-: 2747 4 20  lies
-: 2754 3 18 ~
-- 2761
-: 2763 3 16 melt
-: 2767 3 16  a
-: 2771 4 20 way
-: 2778 4 23 ~
-: 2783 4 16 ~
-: 2789 27 15 ~
-: 2817 4 16 ~
-: 2823 17 16 ~
-: 2841 1 18 ~
-: 2843 3 20 ~
-- 2849
-: 2851 1 16 Mu
-: 2853 2 18 ~
-: 2857 3 18 sic
-* 2862 3 18  will
-* 2868 7 20  tie
-: 2877 2 18 ~
-- 2880
-F 2882 1 18 wonk
-F 2884 3 21  uoy
-F 2888 3 21  naht
-F 2892 3 21  snoit
-F 2896 3 21 cef
-F 2900 3 18 fa
-F 2904 3 18  erom
-F 2911 2 18  deen
-F 2914 2 18  I
-- 2917
-: 2919 2 16 What's
-: 2923 1 21  left
-: 2927 1 20  of
-: 2930 3 16  me
-: 2935 1 16 ~
-: 2937 7 18 ~
-- 2949
-: 2951 2 16 What's
-: 2955 1 21  left
-* 2959 1 20  of
-* 2962 3 16  me
-* 2967 2 16 ~
-: 2971 3 18 ~
-: 2979 12 13  now?
-- 3005
-: 3026 2 11 uh
-: 3029 2 13 ~
-: 3032 3 16 ~
-: 3036 8 15 ~
-: 3045 4 18 ~
-: 3051 4 16 ~
-: 3056 3 15 ~
-: 3060 3 13 ~
-- 3066
-: 3068 1 16 My
-: 3070 2 18 ~
-: 3074 12 18  fears
-- 3096
-: 3100 1 16 my
-: 3102 2 18 ~
-: 3107 3 18  lies
-: 3111 2 16 ~
-: 3114 1 13 ~
-- 3129
-* 3164 3 16 melt
-* 3169 3 16  a
-* 3173 4 20 way
-* 3179 4 23 ~
-* 3185 3 16 ~
-* 3190 27 15 ~
-* 3218 3 16 ~
-* 3223 19 16 ~
-- 3248
-: 3250 4 18 ah
-: 3256 126 20 ~
-- 3392
-F 3410 1 18 wonk
-F 3412 3 21  uoy
-F 3416 3 21  naht
-F 3420 3 21  snoit
-F 3424 3 21 cef
-F 3428 3 18 fa
-F 3432 3 18  erom
-F 3439 2 18  deen
-F 3442 3 18  I
-E
diff --git a/tests/fixtures/sweet_child.txt b/tests/fixtures/sweet_child.txt
deleted file mode 100755
index 8133924..0000000
--- a/tests/fixtures/sweet_child.txt
+++ /dev/null
@@ -1,494 +0,0 @@
-#TITLE:Sweet Child O´Mine
-#ARTIST:Guns N' Roses
-#LANGUAGE:English
-#GENRE:Rock
-#YEAR:1987
-#MP3:Guns N' Roses - Sweet Child O´Mine.mp3
-#COVER:Guns N' Roses - Sweet Child O´Mine.jpg
-#VIDEO:Guns N' Roses - Sweet Child O´Mine.webm
-#CREATOR:sanicsip
-#FIXER:Pacayaka
-#BPM:256
-#GAP:49673
-#VIDEOGAP:0,3
-#START:13
-#MEDLEYSTARTBEAT:1564
-#MEDLEYENDBEAT:2057
-: 0 3 8 She's
-: 5 2 8  got
-: 8 1 8  a
-: 13 2 6  smile
-: 16 8 8 ~
-: 25 1 6  that
-: 27 2 5  it
-: 32 7 6  seems
-: 41 1 8  to
-: 45 1 5  me
-: 47 5 4 ~
-: 53 1 3 ~
-- 55
-: 57 1 1 re
-: 60 7 6 minds
-: 69 2 5  me
-: 73 1 1  of
-: 76 1 1  child
-: 79 9 6 ~
-: 91 5 6 hood
-- 99
-: 101 3 6 mem
-: 105 4 5 o
-: 111 6 3 ries
-: 118 1 1 ~
-- 120
-: 122 3 1 where
-: 126 2 4  eve
-: 129 5 6 ~
-: 135 2 5 ~
-: 138 1 1 ry
-: 142 2 4 thing
-: 145 4 6 ~
-: 150 2 5  was
-: 154 1 1  as
-: 158 2 5  fresh
-: 161 4 6 ~
-: 166 3 5  as
-: 171 1 1  the
-: 174 5 6  bright
-: 181 5 6  blue
-: 190 8 6  sky
-: 200 5 5 ~
-- 222
-: 258 4 8 Now
-: 264 4 8  and
-: 271 10 8  then
-: 283 2 6  when
-: 287 2 5  I
-: 291 3 6  see
-: 295 1 5  her
-: 297 1 6 ~
-: 299 2 8 ~
-: 304 8 5  face
-- 313
-: 315 3 6 she
-: 319 3 8 ~
-: 324 3 6  takes
-: 330 2 5  me
-: 334 1 1  a
-: 338 2 3 way
-: 341 3 6 ~
-: 345 2 5  to
-: 349 3 1  that
-- 354
-: 356 3 6 spe
-: 360 3 6 cial
-: 364 2 8 ~
-: 369 1 6  place
-: 371 4 5 ~
-: 377 2 5  and
-: 381 1 6  if
-: 384 2 5  I
-: 389 3 6  stare
-: 393 2 5 ~
-: 398 3 6  too
-: 402 2 5 ~
-: 405 4 6  long
-: 410 1 5 ~
-- 415
-: 417 1 1 I'd
-: 420 1 1  prob
-: 423 1 6 a
-: 425 2 6 bly
-: 429 5 6  break
-: 436 5 6  down
-: 442 2 6  and
-* 445 1 8 ~
-: 450 7 6  cry
-: 458 8 5 ~
-- 483
-: 512 3 6 Whoah
-: 517 24 8 ~
-: 543 3 10  oh
-: 548 2 8  ooh
-: 551 3 8  whoah
-: 555 1 6 ~
-: 559 3 6  sweet
-: 563 1 5 ~
-: 567 2 5  child
-: 570 3 6 ~
-: 575 1 6  o'
-: 578 8 6  mine
-: 587 12 5 ~
-- 616
-: 643 1 6 Whoah
-: 645 11 8 ~
-: 659 7 6  oh
-: 668 7 5  oh
-: 677 2 5  oh
-: 680 3 6 ~
-: 684 3 5 ~
-: 689 5 1  sweet
-: 697 7 3  love
-: 706 2 5  of
-: 711 26 1  mine
-- 771
-: 1041 5 8 She's
-: 1048 6 8  got
-: 1056 2 6  eyes
-: 1059 7 8 ~
-: 1068 3 6  of
-: 1073 1 5  the
-: 1076 3 6  blu
-: 1080 3 6 est
-: 1084 2 8 ~
-: 1089 11 3  skies
-: 1102 5 1  as
-: 1110 5 6  if
-: 1118 7 6  they
-- 1128
-: 1130 4 6 thought
-: 1135 2 5  of
-: 1140 2 5  rain
-: 1143 4 6 ~
-: 1148 4 5 ~
-- 1162
-* 1171 4 8 I
-: 1176 2 5  hate
-: 1179 3 6 ~
-: 1184 2 6  to
-: 1187 3 5 ~
-: 1192 2 6  look
-: 1196 10 6  in
-: 1208 3 6 to
-: 1213 6 5  those
-: 1221 2 5  eyes
-: 1224 7 6 ~
-: 1233 4 6  and
-- 1239
-: 1241 4 6 see
-: 1246 1 5 ~
-: 1249 3 1  an
-: 1253 1 3  ounce
-: 1256 5 6 ~
-: 1262 1 5 ~
-: 1265 2 1  of
-: 1269 15 1  pain
-- 1294
-: 1301 3 6 Her
-: 1305 2 6  hair
-: 1308 5 8 ~
-: 1314 2 8  re
-: 1318 6 8 minds
-: 1326 4 8  me
-: 1331 3 6  of
-: 1335 2 5  a
-: 1339 6 6  warm
-: 1347 2 6  safe
-: 1350 3 8 ~
-: 1355 6 5  place
-- 1362
-: 1364 6 1 where
-: 1372 3 6  as
-: 1376 2 5 ~
-: 1380 2 1  a
-: 1384 2 5  child
-: 1387 7 6 ~
-* 1395 3 8  I'd
-: 1399 5 6  hide
-: 1405 1 5 ~
-: 1408 11 1 ~
-- 1428
-: 1431 1 6 and
-: 1433 2 8 ~
-: 1437 2 5  pray
-: 1440 3 6 ~
-: 1445 3 6  for
-: 1449 2 5  the
-: 1453 7 6  thun
-: 1461 6 6 der
-- 1471
-: 1473 4 6 and
-: 1478 2 5  the
-: 1482 1 5  rain
-: 1484 6 6 ~
-- 1491
-: 1493 1 5 to
-: 1496 8 6  qui
-: 1505 2 5 et
-: 1509 2 1 ly
-: 1514 1 5  pass
-: 1516 6 6 ~
-* 1526 2 8  me
-: 1529 5 6  by
-: 1535 1 5 ~
-: 1538 10 1 ~
-- 1558
-: 1566 3 6 Whoah
-: 1570 19 8 ~
-: 1591 3 10  oh
-: 1595 3 8  ooh
-: 1600 2 8  whoah
-: 1603 1 6 ~
-: 1607 4 6  sweet
-: 1612 1 5 ~
-: 1615 3 5  child
-: 1620 2 6 ~
-: 1623 1 6  o'
-: 1629 7 6  mine
-: 1637 11 5 ~
-- 1658
-: 1675 2 12 Whoah
-: 1678 20 13 ~
-: 1699 1 12 ~
-: 1701 5 13 ~
-: 1711 1 8  oh
-: 1713 4 10 ~
-: 1719 7 8  oh
-: 1727 3 8  oh
-: 1731 3 10 ~
-: 1736 1 8 ~
-- 1737
-: 1739 3 6 Sweet
-: 1743 1 5 ~
-: 1748 7 6  love
-* 1757 2 8  of
-: 1761 4 6  mine
-: 1766 1 5 ~
-: 1770 16 1 ~
-- 1803
-* 1829 8 8 Oh
-* 1842 4 10  oh
-* 1850 4 13  oh
-* 1858 2 13  oh
-* 1861 5 15 ~
-* 1867 1 13 ~
-- 1869
-: 1871 3 13 Sweet
-: 1875 1 10 ~
-: 1880 1 10  child
-: 1882 3 13 ~
-: 1886 1 10 ~
-: 1888 2 8  o'
-: 1892 2 8  mine
-: 1895 5 10 ~
-: 1901 2 13 ~
-: 1905 2 10 ~
-: 1909 9 8 ~
-- 1924
-: 1926 2 8 Ooh
-: 1929 4 10 ~
-: 1934 2 8 ~
-: 1937 3 5 ~
-: 1942 3 8  yeah
-: 1951 1 8  yeah
-: 1953 5 10 ~
-: 1959 2 8 ~
-- 1962
-: 1964 1 8 Ooh
-: 1966 7 10 ~
-: 1974 7 8 ~
-: 1982 7 6 ~
-: 1991 2 5  ooh
-: 1994 4 6 ~
-: 1999 1 5 ~
-- 2002
-: 2004 3 1 sweet
-: 2010 9 3  love
-: 2021 1 5  of
-: 2025 1 3  mine
-: 2027 1 5 ~
-: 2029 2 3 ~
-: 2032 25 1 ~
-- 2091
-: 3176 4 3 Where
-: 3181 3 1  do
-: 3185 2 -2  we
-: 3190 8 -4  go?
-- 3204
-: 3207 1 1 Where
-: 3209 4 3 ~
-: 3214 2 1  do
-: 3217 2 -2  we
-: 3221 6 -4  go
-: 3229 8 -6  now?
-- 3239
-: 3241 3 3 Where
-: 3245 3 1  do
-: 3249 2 -2  we
-: 3253 11 -4  go?
-- 3274
-: 3282 1 -4 Ooh
-: 3284 4 -2 ~
-: 3289 3 -4  oh
-: 3293 3 -2 ~
-: 3297 3 -4  oh
-: 3301 1 -6 ~
-- 3304
-: 3306 2 -2 Where
-: 3309 2 -4  do
-: 3312 2 -6  we
-: 3316 4 -2  go
-: 3321 4 -4 ~
-: 3326 6 -2 ~?
-- 3342
-: 3355 5 -4 Oh
-: 3362 7 -2 ~
-: 3370 2 -2  where
-: 3373 2 -2  do
-: 3376 2 -2  we
-: 3380 3 -4  go
-: 3384 1 -6 ~
-: 3387 13 -9  now?
-- 3410
-: 3430 1 -6 Where
-: 3433 1 -2 ~
-: 3435 2 -2  do
-: 3439 2 1  we
-: 3443 3 -4  go
-: 3447 8 -2 ~?
-- 3465
-: 3474 7 3 Ooh
-: 3483 12 1  oh
-: 3497 2 3  where
-: 3500 2 1  do
-: 3503 2 -2  we
-: 3507 6 -4  go
-: 3514 13 -6  now?
-- 3537
-: 3558 1 -4 ay
-: 3560 6 -2 ~
-: 3567 1 -4  ay
-: 3569 5 -2 ~
-: 3575 1 -4  ay
-: 3577 5 -2 ~
-: 3583 1 -4  ay
-: 3585 5 -2 ~
-: 3591 1 -4  ay
-: 3593 6 -2 ~
-: 3600 1 -4  ay
-: 3602 5 -2 ~
-: 3608 2 -4  ay
-: 3611 2 -2 ~
-- 3614
-: 3616 4 10 Oh
-: 3623 1 13  where
-: 3625 1 15 ~
-: 3627 3 13  do
-: 3631 3 10  we
-: 3635 6 8  go
-: 3643 5 6  now?
-- 3649
-* 3651 2 6 ah
-* 3655 2 10  ah
-* 3659 2 13  ah
-* 3663 2 10  ah
-* 3666 1 8  ah
-* 3668 2 10  ah
-* 3673 2 8  ah
-* 3676 2 6  oh
-* 3680 2 8  ah
-* 3683 1 6  oh
-- 3684
-: 3686 1 8 where
-: 3688 2 10 ~
-: 3691 2 8  do
-: 3695 2 6  we
-: 3699 1 8  go
-: 3701 11 10 ~?
-- 3719
-* 3722 2 13 ah
-* 3725 12 15 ~
-* 3738 8 13 ~
-* 3748 1 10  oh
-* 3752 2 15  where
-* 3756 2 13  do
-* 3760 2 10  we
-* 3764 7 8  go
-* 3772 10 6  now?
-- 3792
-: 3816 3 10 Where
-: 3821 2 10  do
-: 3825 2 13  we
-: 3829 1 8  go
-: 3831 4 10 ~
-: 3837 1 13 ~
-: 3841 2 10 ~
-: 3845 1 13 ~
-: 3849 1 10 ~
-: 3851 1 8 ~
-: 3853 1 10 ~
-: 3855 1 8 ~
-: 3857 1 10 ~
-: 3859 1 8 ~
-: 3861 2 10 ~
-: 3865 2 8 ~
-: 3868 3 6 ~
-: 3872 3 8 ~
-: 3876 2 6 ~?
-- 3879
-: 3881 2 10 where
-: 3884 1 8  do
-: 3886 1 10 ~
-: 3888 2 10  we
-: 3892 3 8  go
-: 3897 1 6 ~
-: 3901 11 3  now?
-- 3922
-: 3943 1 8 Where
-: 3945 2 10 ~
-: 3949 2 8  do
-: 3953 2 6  we
-: 3957 2 10  go
-: 3960 2 8 ~
-: 3963 10 10 ~?
-- 3983
-: 3990 8 10 Whoah
-: 4000 3 13 ~
-: 4004 3 10 ~
-: 4008 3 10  where
-: 4012 3 13  do
-: 4017 2 10  we
-: 4021 5 8  go
-: 4028 10 6  now?
-- 4039
-* 4041 3 15 no
-* 4046 3 13  no
-* 4051 4 10  no
-* 4057 3 9  no
-* 4062 3 8  no
-* 4067 3 6  no
-* 4072 9 3  no
-- 4087
-: 4090 3 8 sweet
-: 4094 2 10 ~
-: 4101 3 8  child
-: 4105 2 6 ~
-: 4109 7 3 ~
-- 4122
-: 4124 3 10 sweet
-: 4128 1 8 ~
-: 4130 3 10 ~
-: 4137 3 10  child
-: 4142 2 13 ~
-: 4145 4 10 ~
-: 4150 2 13 ~
-: 4153 4 10 ~
-: 4158 1 8 ~
-: 4160 2 10 ~
-: 4163 2 8 ~
-: 4166 3 6 ~
-: 4171 2 10 ~
-: 4175 2 13 ~
-: 4179 3 10 ~
-: 4183 4 13 ~
-: 4188 4 15 ~
-: 4194 2 13 ~
-: 4199 1 10 ~
-- 4200
-: 4202 1 8 o'
-: 4204 2 10 ~
-: 4208 2 8  mine
-: 4211 2 6 ~
-: 4214 46 3 ~
-: 4262 33 1 ~
-: 4297 49 3 ~
-E
diff --git a/tests/test_align.py b/tests/test_align.py
index c362510..f7016a3 100644
--- a/tests/test_align.py
+++ b/tests/test_align.py
@@ -7,7 +7,7 @@ from songtrace.lyrics import normalize_lyrics
 from songtrace.pipeline import Ctx, PipelineError, SongInput
 from songtrace.stages import align
 
-LYRICS = "she's got a smile\nthat it seems to me"
+LYRICS = "it's one two three\nfour five six seven eight"
 
 
 def make_ctx(tmp_path, lyrics=LYRICS, transcript=None):
@@ -15,7 +15,7 @@ def make_ctx(tmp_path, lyrics=LYRICS, transcript=None):
     work.mkdir(exist_ok=True)
     if transcript is None:
         transcript = [{"start": 1.0, "end": 4.0,
-                       "text": "she's got a smile that it seems to me"}]
+                       "text": "it's one two three four five six seven eight"}]
     (work / "transcript.json").write_text(json.dumps(transcript))
     inp = SongInput(title="T", artist="A", lyrics_text=lyrics)
     return Ctx(inp=inp, cfg=Config(whisper_url="u", device="cpu"),
@@ -49,7 +49,7 @@ def check_invariants(rows, lyrics):
 def test_alignment_covers_all_words(tmp_path, monkeypatch):
     rows = run_align(tmp_path, monkeypatch)
     assert [r["word"] for r in rows] == \
-        ["she's", "got", "a", "smile", "that", "it", "seems", "to", "me"]
+        ["it's", "one", "two", "three", "four", "five", "six", "seven", "eight"]
     assert rows[0]["line_index"] == 0 and rows[-1]["line_index"] == 1
     starts = [r["start"] for r in rows]
     assert starts == sorted(starts)
@@ -63,18 +63,18 @@ def test_mismatched_lyrics_fail(tmp_path, monkeypatch):
 
 
 def test_unalignable_word_interpolated(tmp_path, monkeypatch):
-    lyrics = "she's got ... smile\nthat it seems to me"
+    lyrics = "it's one ... three\nfour five six seven eight"
     rows = run_align(tmp_path, monkeypatch, lyrics)
     dots = next(r for r in rows if r["word"] == "...")
     assert dots["score"] == 0.0
-    prev = next(r for r in rows if r["word"] == "got")
-    nxt = next(r for r in rows if r["word"] == "smile")
+    prev = next(r for r in rows if r["word"] == "one")
+    nxt = next(r for r in rows if r["word"] == "three")
     assert prev["end"] <= dots["start"] <= dots["end"] <= nxt["start"] + 1e-6
     check_invariants(rows, lyrics)
 
 
 def test_leading_unalignable_word(tmp_path, monkeypatch):
-    lyrics = "... got a smile\nthat it seems to me"
+    lyrics = "... one two three\nfour five six seven eight"
     rows = run_align(tmp_path, monkeypatch, lyrics)
     assert rows[0]["word"] == "..." and rows[0]["score"] == 0.0
     assert rows[0]["start"] >= 0.0
@@ -83,7 +83,7 @@ def test_leading_unalignable_word(tmp_path, monkeypatch):
 
 
 def test_trailing_unalignable_word(tmp_path, monkeypatch):
-    lyrics = "she's got a smile\nthat it seems to ..."
+    lyrics = "it's one two three\nfour five six seven ..."
     rows = run_align(tmp_path, monkeypatch, lyrics)
     assert rows[-1]["word"] == "..." and rows[-1]["score"] == 0.0
     assert rows[-2]["end"] <= rows[-1]["start"]
@@ -91,7 +91,7 @@ def test_trailing_unalignable_word(tmp_path, monkeypatch):
 
 
 def test_consecutive_unalignable_words(tmp_path, monkeypatch):
-    lyrics = "she's got ... ... smile\nthat it seems to me"
+    lyrics = "it's one ... ... three\nfour five six seven eight"
     rows = run_align(tmp_path, monkeypatch, lyrics)
     dots = [r for r in rows if r["word"] == "..."]
     assert len(dots) == 2
@@ -113,8 +113,8 @@ def test_all_words_unalignable_in_section(tmp_path, monkeypatch):
 
 
 def test_non_chronological_transcript(tmp_path, monkeypatch):
-    transcript = [{"start": 30.0, "end": 33.0, "text": "that it seems to me"},
-                  {"start": 1.0, "end": 4.0, "text": "she's got a smile"}]
+    transcript = [{"start": 30.0, "end": 33.0, "text": "four five six seven eight"},
+                  {"start": 1.0, "end": 4.0, "text": "it's one two three"}]
     rows = run_align(tmp_path, monkeypatch, transcript=transcript)
     check_invariants(rows, LYRICS)
     assert len({r["start"] for r in rows}) == len(rows)
@@ -131,8 +131,8 @@ def test_inverted_section_does_not_collapse(tmp_path, monkeypatch):
 
 
 def test_words_split_across_sections(tmp_path, monkeypatch):
-    transcript = [{"start": 1.0, "end": 4.0, "text": "she's got a smile"},
-                  {"start": 30.0, "end": 33.0, "text": "that it seems to me"}]
+    transcript = [{"start": 1.0, "end": 4.0, "text": "it's one two three"},
+                  {"start": 30.0, "end": 33.0, "text": "four five six seven eight"}]
     rows = run_align(tmp_path, monkeypatch, transcript=transcript)
     check_invariants(rows, LYRICS)
     assert rows[3]["end"] <= 5.0
@@ -140,9 +140,9 @@ def test_words_split_across_sections(tmp_path, monkeypatch):
 
 
 def test_align_drops_lines_never_sung(tmp_path, monkeypatch):
-    lyrics = "she's got a smile\nthat it seems to me\nbut then it fades away"
+    lyrics = "it's one two three\nfour five six seven eight\nnine ten eleven twelve"
     transcript = [{"start": 1.0, "end": 4.0,
-                   "text": "she's got a smile that it seems to me"}]
+                   "text": "it's one two three four five six seven eight"}]
     rows = run_align(tmp_path, monkeypatch, lyrics, transcript)
     assert {r["line_index"] for r in rows} == {0, 1}
     meta = json.loads((tmp_path / "w" / "align_meta.json").read_text())
@@ -151,9 +151,9 @@ def test_align_drops_lines_never_sung(tmp_path, monkeypatch):
 
 
 def test_align_flags_missing_span_for_unmatched_singing(tmp_path, monkeypatch):
-    lyrics = "she's got a smile\nthat it seems to me"
+    lyrics = "it's one two three\nfour five six seven eight"
     transcript = [
-        {"start": 1.0, "end": 4.0, "text": "she's got a smile that it seems to me"},
+        {"start": 1.0, "end": 4.0, "text": "it's one two three four five six seven eight"},
         {"start": 20.0, "end": 23.0, "text": "completely unrelated ad lib bridge"},
     ]
     run_align(tmp_path, monkeypatch, lyrics, transcript)
diff --git a/tests/test_lyrics.py b/tests/test_lyrics.py
index b9f05dd..716c759 100644
--- a/tests/test_lyrics.py
+++ b/tests/test_lyrics.py
@@ -1,22 +1,22 @@
 from songtrace.lyrics import normalize_lyrics, alignment_token
 
 RAW = """[Verse 1]
-She's got a smile
+It's one two three
 
 [Chorus]
-Whoa, sweet child o' mine
-Take me down to 7 streets
+Whoa, la la o' la
+Count me up to 7 times
 """
 
 
 def test_normalize_strips_sections_and_blanks():
     ref = normalize_lyrics(RAW)
     assert ref.lines == [
-        ["She's", "got", "a", "smile"],
-        ["Whoa,", "sweet", "child", "o'", "mine"],
-        ["Take", "me", "down", "to", "7", "streets"],
+        ["It's", "one", "two", "three"],
+        ["Whoa,", "la", "la", "o'", "la"],
+        ["Count", "me", "up", "to", "7", "times"],
     ]
-    assert ref.words[0] == "She's"
+    assert ref.words[0] == "It's"
     assert ref.word_line_index == [0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2]
 
 
diff --git a/tests/test_notes.py b/tests/test_notes.py
index 1e556f4..1e33cc0 100644
--- a/tests/test_notes.py
+++ b/tests/test_notes.py
@@ -78,7 +78,7 @@ def test_syllabify():
     assert syllabify("reminds", "English") == ["re", "minds"]
     assert syllabify("a", "English") == ["a"]
     assert syllabify("xyzzy", None) == ["xyzzy"]
-    assert syllabify("She's", "English") == ["She's"]
+    assert syllabify("It's", "English") == ["It's"]
 
 
 def test_syllabify_preserves_word_characters():
@@ -96,12 +96,12 @@ def test_syllabify_language_without_pyphen_dict_is_not_mishandled_as_english():
 def test_build_notes_basic_line():
     times, f0, conf = flat_pitch()
     rows = [
-        {"word": "She's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
+        {"word": "It's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
         {"word": "got", "start": 1.6, "end": 2.0, "score": 0.9, "line_index": 0},
         {"word": "Now", "start": 5.0, "end": 5.5, "score": 0.9, "line_index": 1},
     ]
     notes, breaks, warnings = build_notes(rows, times, f0, conf, "English")
-    assert notes[0].text == "She's"          # line-initial: no leading space
+    assert notes[0].text == "It's"          # line-initial: no leading space
     assert notes[1].text == " got"           # mid-line: leading space
     assert notes[2].text == "Now"            # new line: no leading space
     assert len(breaks) == 1 and 2.0 <= breaks[0] <= 5.0
@@ -225,8 +225,8 @@ def test_build_notes_short_multisyllable_word_does_not_overlap():
 def test_build_notes_never_overlaps_on_dense_input():
     rng = np.random.default_rng(11)
     times = np.arange(0, 40.0, 0.01)
-    words = ["She's", "got", "a", "beautiful", "smile", "reminds", "me",
-             "everything", "I", "lost", "yesterday", "oh"]
+    words = ["We", "count", "a", "beautiful", "number", "reminds", "us",
+             "everything", "we", "listed", "yesterday", "oh"]
     for _ in range(8):
         f0 = 220.0 * 2 ** (rng.integers(0, 12, len(times)) // 3 / 12.0)
         conf = np.where(rng.random(len(times)) < 0.9, 0.9, 0.1)
@@ -244,8 +244,8 @@ def test_build_notes_starts_are_non_decreasing():
     times = np.arange(0, 12.0, 0.01)
     f0 = 220.0 * 2 ** (np.floor(times * 2) % 5 / 12.0)   # stepped melody
     conf = np.where((times % 3.0) < 2.6, 0.9, 0.1)       # unvoiced gaps
-    words = ["She's", "got", "a", "beautiful", "smile", "that",
-             "reminds", "me", "of", "everything", "I", "lost"]
+    words = ["We", "count", "a", "beautiful", "number", "that",
+             "reminds", "us", "of", "everything", "we", "list"]
     rows = []
     for i, w in enumerate(words):
         dur = 0.8 if i % 3 else 0.07       # every third word sung very fast
@@ -278,7 +278,7 @@ def test_notes_stage_writes_json(tmp_path):
     times, f0, conf = flat_pitch()
     np.savez(work / "pitch.npz", times=times, f0=f0, conf=conf)
     (work / "alignment.json").write_text(json.dumps([
-        {"word": "She's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
+        {"word": "It's", "start": 1.0, "end": 1.5, "score": 0.9, "line_index": 0},
         {"word": "gone", "start": 3.0, "end": 3.5, "score": 0.9, "line_index": 1},
     ]))
     ctx = Ctx(inp=SongInput(title="T", artist="A", lyrics_text="x", language="English"),
@@ -287,7 +287,7 @@ def test_notes_stage_writes_json(tmp_path):
     assert stage.outputs(ctx) == [work / "notes_sec.json"]
     stage.run(ctx)
     data = json.loads((work / "notes_sec.json").read_text())
-    assert [n["text"] for n in data["notes"]] == ["She's", "gone"]
+    assert [n["text"] for n in data["notes"]] == ["It's", "gone"]
     assert data["breaks"] == [2.25]
     assert data["warnings"] == []
     assert TimedNote(**data["notes"][0]).pitch == 0
diff --git a/tests/test_transcribe.py b/tests/test_transcribe.py
index 5947706..9ac80e4 100644
--- a/tests/test_transcribe.py
+++ b/tests/test_transcribe.py
@@ -18,35 +18,35 @@ def test_vocal_sections_keeps_contained_segment():
     assert sections == [(0.0, 11.0)]
 
 def test_similarity_high_for_matching_lyrics():
-    ref = normalize_lyrics("she's got a smile\nthat it seems to me")
-    segs = [seg(0, 2, "She's got a smile"), seg(2, 4, "that it seems to me")]
+    ref = normalize_lyrics("it's one two three\nfour five six seven eight")
+    segs = [seg(0, 2, "It's one two three"), seg(2, 4, "four five six seven eight")]
     assert lyrics_similarity(segs, ref) > 0.9
 
 def test_similarity_low_for_wrong_lyrics():
     ref = normalize_lyrics("completely different words here entirely")
-    segs = [seg(0, 2, "she's got a smile that it seems to me")]
+    segs = [seg(0, 2, "it's one two three four five six seven eight")]
     assert lyrics_similarity(segs, ref) < 0.4
 
 def test_classify_lyrics_match_flags_extra_reference_line():
-    ref = normalize_lyrics("she's got a smile\nthat it seems to me\nbut then it fades")
-    segs = [seg(1, 4, "she's got a smile that it seems to me")]
+    ref = normalize_lyrics("it's one two three\nfour five six seven eight\nnine ten eleven")
+    segs = [seg(1, 4, "it's one two three four five six seven eight")]
     dropped, missing = classify_lyrics_match(segs, ref)
     assert dropped == [2]
     assert missing == []
 
 def test_classify_lyrics_match_flags_unmatched_singing():
-    ref = normalize_lyrics("she's got a smile\nthat it seems to me")
-    segs = [seg(1, 4, "she's got a smile that it seems to me"),
+    ref = normalize_lyrics("it's one two three\nfour five six seven eight")
+    segs = [seg(1, 4, "it's one two three four five six seven eight"),
             seg(20, 23, "completely unrelated ad lib bridge")]
     dropped, missing = classify_lyrics_match(segs, ref)
     assert dropped == []
     assert missing == [(19.0, 24.0)]
 
 def test_classify_lyrics_match_keeps_partially_matched_lines():
-    ref = normalize_lyrics("she's got a smile\nthat it seems to me")
-    # line 1 heard with one word garbled ("it" -> "bit"): still a replace/equal
+    ref = normalize_lyrics("it's one two three\nfour five six seven eight")
+    # line 1 heard with one word garbled ("five" -> "fife"): still a replace/equal
     # match, so the line stays matched rather than dropped
-    segs = [seg(1, 4, "she's got a smile that bit seems to me")]
+    segs = [seg(1, 4, "it's one two three four fife six seven eight")]
     dropped, _ = classify_lyrics_match(segs, ref)
     assert dropped == []
 
@@ -54,8 +54,8 @@ def test_classify_lyrics_match_scopes_missing_span_to_adlib_not_whole_section():
     # matched line and an unmatched ad-lib close enough together that
     # vocal_sections would merge them into one section; missing_spans must
     # stay tight around the ad-lib so the review marks the right place.
-    ref = normalize_lyrics("she's got a smile\nthat it seems to me")
-    segs = [seg(1, 4, "she's got a smile that it seems to me"),
+    ref = normalize_lyrics("it's one two three\nfour five six seven eight")
+    segs = [seg(1, 4, "it's one two three four five six seven eight"),
             seg(6, 8, "completely unrelated ad lib")]
     sections = vocal_sections(segs)
     assert sections == [(0.0, 9.0)]      # confirms the two segments do merge
diff --git a/tests/test_ultrastar.py b/tests/test_ultrastar.py
index b523cc3..b4fadac 100644
--- a/tests/test_ultrastar.py
+++ b/tests/test_ultrastar.py
@@ -10,8 +10,8 @@ def load(name):
     return (FIXTURES / name).read_text(encoding="utf-8", errors="replace")
 
 def test_parse_headers_and_notes():
-    song = parse_ultrastar(load("sanctuary.txt"))
-    assert get_header(song, "artist") == "Utada Hikaru"
+    song = parse_ultrastar(load("chart_crlf.txt"))
+    assert get_header(song, "artist") == "Test Artist"
     assert parse_bpm(get_header(song, "BPM")) == 217.98
     first = song.body[0]
     assert first == Note(kind=":", beat=0, length=3, pitch=16, text="ah")
@@ -19,16 +19,16 @@ def test_parse_headers_and_notes():
     assert any(n.kind == "F" for n in song.body if isinstance(n, Note))
 
 def test_note_text_keeps_leading_space():
-    song = parse_ultrastar(load("sanctuary.txt"))
+    song = parse_ultrastar(load("chart_crlf.txt"))
     notes = [n for n in song.body if isinstance(n, Note)]
     assert notes[1].text == " ah"
 
 def test_negative_pitch():
-    song = parse_ultrastar(load("sweet_child.txt"))
+    song = parse_ultrastar(load("chart_latin1.txt"))
     assert any(n.pitch == -9 for n in song.body if isinstance(n, Note))
 
 def test_round_trip():
-    for name in ("sweet_child.txt", "sanctuary.txt"):
+    for name in ("chart_latin1.txt", "chart_crlf.txt"):
         song = parse_ultrastar(load(name))
         again = parse_ultrastar(serialize_ultrastar(song))
         assert again == song