Changes
3 changed files (+282/-255)
-
-
@@ -1,1 +1,2 @@/music /music /music.s32
-
-
-
@@ -1,250 +1,276 @@import musiclib import musiclib, std/math # Number of times to sample each second let bitrate = 44100 func osc_piano*(f, t: float): float = ## Returns the intensity of a tone of frequency f sampled at time t ## t starts at 0 (note start) # https://dsp.stackexchange.com/questions/46598/mathematical-equation-for-the-sound-wave-that-a-piano-makes # https://youtu.be/ogFAHvYatWs?t=254 # return int(2**13*(1+square(t, 440*2**(math.floor(5*t)/12)))) # Y = sum([math.sin(2 * i * math.pi * t * f) * math.exp(-0.0004 * 2 * math.pi * t * f) / 2**i for i in range(1, 4)]) # Y += Y * Y * Y # Y *= 1 + 16 * t * math.exp(-6 * t) let w = 2 * PI * f var Y = 0.6 * math.sin(w * t) * math.exp(-0.001 * w * t) Y += 0.2 * math.sin(2 * w * t) * math.exp(-0.001 * w * t) Y += 0.05 * math.sin(3 * w * t) * math.exp(-0.001 * w * t) Y += Y * Y * Y Y *= 1 + 16 * t * math.exp(-6 * t) Y func freq*(octave, step: float): float = ## Returns the frequency of a note 55 * pow(2, (octave + step / 12 - 1)) func p*(len, octave, step, vol: float = 1): Note = ## Note helper constructor let osc: OscFn = osc_piano (len, freq(octave, step), vol, osc) let intro = [ n(1,3,3), n(1,3,7), n(1,3,10), n(6,4,2), p(1,3,3), p(1,3,7), p(1,3,10), p(6,4,2), n(1,3,1), n(1,3,5), n(1,3,8), n(3,4,0), p(1,3,1), p(1,3,5), p(1,3,8), p(3,4,0), n(1,2,11), n(1,3,3), n(1,3,6), n(3,3,10), p(1,2,11), p(1,3,3), p(1,3,6), p(3,3,10), n(1,2,8), n(1,3,0), n(1,3,3), n(8,3,7), p(1,2,8), p(1,3,0), p(1,3,3), p(8,3,7), ] let melody = [ n(1,3,3), n(1,3,7), n(1,3,10), n(1,4,2), n(1,4,3), n(1,4,7), n(2,4,8), p(1,3,3), p(1,3,7), p(1,3,10), p(1,4,2), p(1,4,3), p(1,4,7), p(2,4,8), n(1,3,1), n(1,3,5), n(1,3,8), n(1,4,0), n(1,4,1), n(1,4,5), n(2,4,8), p(1,3,1), p(1,3,5), p(1,3,8), p(1,4,0), p(1,4,1), p(1,4,5), p(2,4,8), n(1,3,3), n(1,3,7), n(1,3,10), n(1,4,2), n(1,4,3), n(1,4,10), n(2,4,3), p(1,3,3), p(1,3,7), p(1,3,10), p(1,4,2), p(1,4,3), p(1,4,10), p(2,4,3), n(1,3,1), n(1,3,5), n(1,3,8), n(1,4,0), n(1,4,10), n(1,4,8), n(2,4,10), p(1,3,1), p(1,3,5), p(1,3,8), p(1,4,0), p(1,4,10), p(1,4,8), p(2,4,10), n(1,3,3), n(1,3,7), n(1,3,10), n(1,4,2), n(1,4,3), n(1,4,7), n(2,4,8), p(1,3,3), p(1,3,7), p(1,3,10), p(1,4,2), p(1,4,3), p(1,4,7), p(2,4,8), n(1,3,1), n(1,3,5), n(1,3,8), n(1,4,0), n(1,4,1), n(1,4,5), n(2,4,1), p(1,3,1), p(1,3,5), p(1,3,8), p(1,4,0), p(1,4,1), p(1,4,5), p(2,4,1), n(1,3,3), n(1,3,7), n(1,3,10), n(1,4,2), n(1,4,3), n(1,4,10), n(1,4,8), n(1,4,7), p(1,3,3), p(1,3,7), p(1,3,10), p(1,4,2), p(1,4,3), p(1,4,10), p(1,4,8), p(1,4,7), n(1,3,1), n(1,3,5), n(1,3,8), n(1,4,0), n(1,4,10), n(1,4,8), n(2,4,10), p(1,3,1), p(1,3,5), p(1,3,8), p(1,4,0), p(1,4,10), p(1,4,8), p(2,4,10), ] let bass = [ n(1,1,3), n(1,1,10), n(1,1,1), n(1,1,8), n(1,1,3), n(1,2,3), n(1,1,1), n(1,1,10), p(1,1,3), p(1,1,10), p(1,1,1), p(1,1,8), p(1,1,3), p(1,2,3), p(1,1,1), p(1,1,10), ] let melody2 = [ n(1,0,0), n(1,5,10), n(1,5,8), n(1,5,7), n(1,5,8), n(3,5,7,2), p(1,0,0), p(1,5,10), p(1,5,8), p(1,5,7), p(1,5,8), p(3,5,7,2), n(1,5,3), n(1,4,10), n(6,5,1,2), p(1,5,3), p(1,4,10), p(6,5,1,2), n(1/2,5,0,2), n(1/2,5,1,2), n(3,5,3,2), n(1/2,5,10,2), n(7/2,5,3,2), p(1/2,5,0,2), p(1/2,5,1,2), p(3,5,3,2), p(1/2,5,10,2), p(7/2,5,3,2), n(8,0,0), p(8,0,0), n(1,0,0), n(1,5,3), n(1,5,10), n(1,5,10), n(4/3,5,10), n(4/3,5,8), n(4/3,5,7), p(1,0,0), p(1,5,3), p(1,5,10), p(1,5,10), p(4/3,5,10), p(4/3,5,8), p(4/3,5,7), n(1,0,0), n(1,5,1), n(1,5,8), n(1,5,8), n(4/3,5,8), n(4/3,5,8), n(4/3,5,10), p(1,0,0), p(1,5,1), p(1,5,8), p(1,5,8), p(4/3,5,8), p(4/3,5,8), p(4/3,5,10), n(8,0,0), p(8,0,0), n(1,0,0), n(5,5,3,2), n(2,5,10,2), p(1,0,0), p(5,5,3,2), p(2,5,10,2), ] let melody3 = [ n(1,0,0), n(1,5,10), n(1/2,5,8,2/3), n(1/2,5,7,2/3), n(1/4,5,8,1/2), n(1/4,5,7,1/2), n(1/4,5,8,1/2), n(1/4,5,7,1/2), n(1,5,8), n(3,5,7,2), p(1,0,0), p(1,5,10), p(1/2,5,8,2/3), p(1/2,5,7,2/3), p(1/4,5,8,1/2), p(1/4,5,7,1/2), p(1/4,5,8,1/2), p(1/4,5,7,1/2), p(1,5,8), p(3,5,7,2), n(1,5,3), n(1,4,10), n(1,5,1), n(5,5,7,2), p(1,5,3), p(1,4,10), p(1,5,1), p(5,5,7,2), n(1/2,5,7), n(1/2,5,10), n(1/4,5,7), n(1/4,5,10), n(1/4,5,7), n(1/4,5,10), n(1,6,3), n(2,5,3,2), n(1/2,6,3), n(5/2,5,3,2), p(1/2,5,7), p(1/2,5,10), p(1/4,5,7), p(1/4,5,10), p(1/4,5,7), p(1/4,5,10), p(1,6,3), p(2,5,3,2), p(1/2,6,3), p(5/2,5,3,2), n(1/2,5,10), n(1/2,5,8), n(1/2,5,7), n(1/2,5,8), n(1/2,5,7), n(1/2,5,3), n(1/2,4,10), n(1/2,5,1), n(1/2,5,0), n(1/2,4,10), n(1/2,4,8), n(1/2,4,10), n(1/2,5,3), n(1/2,5,7), n(1/2,5,3), n(1/2,5,10), p(1/2,5,10), p(1/2,5,8), p(1/2,5,7), p(1/2,5,8), p(1/2,5,7), p(1/2,5,3), p(1/2,4,10), p(1/2,5,1), p(1/2,5,0), p(1/2,4,10), p(1/2,4,8), p(1/2,4,10), p(1/2,5,3), p(1/2,5,7), p(1/2,5,3), p(1/2,5,10), n(4/3,5,7), n(4/3,6,3), n(4/3,6,3), n(4/3,6,2), n(4/3,5,10), n(4/3,5,7), p(4/3,5,7), p(4/3,6,3), p(4/3,6,3), p(4/3,6,2), p(4/3,5,10), p(4/3,5,7), n(3,5,5), n(2,5,7), n(2,5,8), n(1,6,1), p(3,5,5), p(2,5,7), p(2,5,8), p(1,6,1), n(1,5,3), n(1,5,5), n(2,5,7), n(1,5,3), n(1,5,8), n(2,5,10), p(1,5,3), p(1,5,5), p(2,5,7), p(1,5,3), p(1,5,8), p(2,5,10), n(3/2,6,0), n(3/2,6,1), n(5,6,3,2), p(3/2,6,0), p(3/2,6,1), p(5,6,3,2), ] let outro = [ n(1,3,3), n(1,3,7), n(1,3,10), n(1,4,2), n(1,4,3), n(1,4,7), n(2,4,8), p(1,3,3), p(1,3,7), p(1,3,10), p(1,4,2), p(1,4,3), p(1,4,7), p(2,4,8), n(1,3,1), n(1,3,5), n(1,3,8), n(1,4,0), n(1,4,1), n(1,4,5), n(2,4,8), p(1,3,1), p(1,3,5), p(1,3,8), p(1,4,0), p(1,4,1), p(1,4,5), p(2,4,8), n(1,2,11), n(1,3,3), n(1,3,6), n(1,3,10), n(1.5,3,11), n(1.5,4,3), n(3,4,8), p(1,2,11), p(1,3,3), p(1,3,6), p(1,3,10), p(1.5,3,11), p(1.5,4,3), p(3,4,8), n(1.5,2,8), n(1.5,3,0), n(2,3,3), n(16,3,7,2), p(1.5,2,8), p(1.5,3,0), p(2,3,3), p(16,3,7,2), ] from std/algorithm import sort
-
@@ -265,7 +291,7 @@ music.process(melody3, 56, 4)music.process(bass, 56, gain=1.5) music.process(bass, 64, gain=1.5) music.process(outro, 72, 4) music.sort() music.sortByStart() # Print out music encoded in s16 to standard output for i in (0 * bitrate ..< 84 * bitrate):
-
-
-
@@ -1,68 +1,68 @@import std/[algorithm, math, sugar] import std/[algorithm, math, sugar, strformat] type Note* = tuple len: float octave: float step: float vol: float type OscFn* = proc (f: float, t: float): float func n*(a, b, c, d: float = 1): Note = (a, b, c, d) Note* = tuple len: float ## seconds freq: float vol: float osc: OscFn type ProcessedNote* = tuple start: float `end`: float octave: float step: float vol: float ProcessedNote* = tuple start: float ## absolute time in seconds stop: float ## absolute time in seconds freq: float vol: float osc: OscFn ## give some seconds for the note to fade out const HACK_DROPOFF_DELAY = 2.0 func process*(music: var seq[ProcessedNote], notes: openArray[Note]; m_start: float, speed: float=1, gain:float = 1) = const HACK_LONGEST_NOTE = 16.0 func process*(music: var seq[ProcessedNote], notes: openArray[Note]; start_init: float, speed: float=1, gain:float = 1) = ## Adds a list of notes to the music list var start = m_start ## ## `notes` sequence of notes with no rests in between var start = start_init var t = start for note in notes: let vol = note[3] start = min(t, t + note[0] / speed) let `end` = max(t, t + note[0] / speed) music &= ((start, `end`, note[1], note[2], vol * gain)) t = `end` assert note.len >= 0.0 assert note.len <= HACK_LONGEST_NOTE, &"note too long: {note.len}" start = t let stop = t + note.len / speed music &= (start, stop, note.freq, note.vol * gain, note.osc) t = stop func bisect(music: openArray[ProcessedNote], x: (float, float)): int = ## Return the index where to insert item `x` in list `music`, assuming `music` is sorted. music.lowerBound(x, (m, key) => cmp((m[0], m[1]), key)) func sortByStart*(music: var seq[ProcessedNote]) = music.sort((a, b) => cmp(a.start, b.start)) func bisect(music: openArray[ProcessedNote], x: float): int = ## Return the index where to insert item `x` in list `music` ## ## assumes `music` is sorted by `.start` func freq(octave, step: float): float = ## Returns the frequency of a note 55 * pow(2, (octave + step / 12 - 1)) music.lowerBound(x, (m, key) => cmp(m.start, key)) func tone(f, t: float): float = ## Returns the intensity of a tone of frequency f sampled at time t # https://dsp.stackexchange.com/questions/46598/mathematical-equation-for-the-sound-wave-that-a-piano-makes # https://youtu.be/ogFAHvYatWs?t=254 # return int(2**13*(1+square(t, 440*2**(math.floor(5*t)/12)))) # Y = sum([math.sin(2 * i * math.pi * t * f) * math.exp(-0.0004 * 2 * math.pi * t * f) / 2**i for i in range(1, 4)]) # Y += Y * Y * Y # Y *= 1 + 16 * t * math.exp(-6 * t) let w = 2 * PI * f var Y = 0.6 * math.sin(w * t) * math.exp(-0.001 * w * t) Y += 0.2 * math.sin(2 * w * t) * math.exp(-0.001 * w * t) Y += 0.05 * math.sin(3 * w * t) * math.exp(-0.001 * w * t) Y += Y * Y * Y Y *= 1 + 16 * t * math.exp(-6 * t) Y const GAIN_BIAS: float = pow(2.0, 28.0) const bias: float = pow(2.0, 28.0) func at*(music: openArray[ProcessedNote], t: float): int32 = proc at*(music: openArray[ProcessedNote], t: float): int32 = ## Returns the total intensity of music sampled at time t let i: int = music.bisect((t, pow(2.0, 31.0))) # This is actually pretty efficient ngl # Because people usually don't have that many overlapping notes ## ## assumes `music` is sorted by `.start` var i: int = music.bisect(t) - 1 var ret: float = 0 # this `32` is flaky # maybe some notes are longer? for j in (max(i - 32, 0) ..< i): let m = music[j] if m[0] + m[1] > t: ret += m[4] * tone(freq(m[2], m[3]), t - m[0]) int32(ret * bias) while i >= 0: let m = music[i] assert m.start <= t if m.stop + HACK_DROPOFF_DELAY >= t: ret += m.vol * m.osc(m.freq, t - m.start) if m.start + HACK_LONGEST_NOTE + HACK_DROPOFF_DELAY < t: break i -= 1 int32(ret * GAIN_BIAS)
-