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# Input sound | ||
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rate = 16000. | ||
duration = 2 | ||
samples = round(Int,duration*rate) | ||
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x1 = [ samples/7 <= t <= 2.5*samples/7 ? sin(2000*2*π*t/rate+1000*t/rate*2*π*t/rate) : 0. for t in 1:samples ] | ||
x2= [ 3*samples/7 <= t <= 4.5*samples/7 ? sin(2000*2*π*t/rate+1000*t/rate*2*π*t/rate) : 0. for t in 1:samples ] | ||
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x = x1+x2 | ||
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## Short time Fourier transform | ||
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m =stft(x, 500, 450, fs = rate, window = hanning) | ||
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## smoothing | ||
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using ImageFiltering | ||
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λ=2 | ||
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M = STFT(0.01.*ComplexF64.(imfilter(abs.(m.stft),ImageFiltering.Kernel.gaussian((λ,2λ)))), m.freq, m.time, m.width) | ||
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## Lift | ||
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Lm = lift(M; νMin=-0.5, νMax=1.5, N=100) | ||
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## WC evolution | ||
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χ = 20 | ||
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α = 55 | ||
β = 1 | ||
γ = 55 | ||
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τ = χ * step(time(Lm)) | ||
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b = .05 | ||
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k = Kern(normalize(freq(Lm)), slopes(Lm), KernParams(τ, b, 1e-6)); | ||
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W = wc_delay(Lm, α, β, γ, K=k,τdx = χ) |> project | ||
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## Save results | ||
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try | ||
mkpath("interrupted-chirp-results") | ||
catch | ||
end | ||
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cd("interrupted-chirp-results") | ||
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save_result(M, W, α, β, γ, χ) | ||
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cd("..") |
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# Input sound | ||
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rate = 16000. | ||
duration = 2 | ||
samples = round(Int,duration*rate) | ||
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x1 = [ samples/7 <= t <= 6*samples/14 ? sin(2000*2*π*t/rate + 1000*t/rate*2*π*t/rate) : 0. for t in 1:samples ] | ||
x2 = [ samples/7 <= t <= 6*samples/14 ? sin(6000*2*π*t/rate - 1000*t/rate*2*π*t/rate) : 0. for t in 1:samples ] | ||
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x = x1+x2 | ||
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## Short time Fourier transform | ||
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m =stft(x, 500, 450, fs = rate, window = hanning) | ||
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## smoothing | ||
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using ImageFiltering | ||
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λ=2 | ||
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M = STFT(0.01.*ComplexF64.(imfilter(abs.(m.stft),ImageFiltering.Kernel.gaussian((λ,2λ)))), m.freq, m.time, m.width) | ||
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## Lift | ||
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Lm = lift(M; νMin=-1, νMax=1, N=100) | ||
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## WC evolution | ||
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χ = 20 | ||
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α = 53 | ||
β = 1 | ||
γ = 55 | ||
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τ = χ * step(time(Lm)) | ||
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b = .01 | ||
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k = Kern(normalize(freq(Lm)), slopes(Lm), KernParams(τ, b, 1e-6)); | ||
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W = wc_delay(Lm, α, β, γ, K=k,τdx = χ) |> project | ||
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## Save results | ||
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try | ||
mkpath("intersecting-chirps-results") | ||
catch | ||
end | ||
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cd("intersecting-chirps-results") | ||
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save_result(M, W, α, β, γ, χ) | ||
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cd("..") |
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# Test with linear chirp | ||
# Input sound | ||
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rate = 16000. | ||
duration = 2 | ||
samples = round(Int,duration*rate) | ||
y = [ t <= 8*samples/14 ? sin(1000*2*π*t/rate+1000*t/rate*2*π*t/rate) : 0. for t in 1:samples ] | ||
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mkpath("linear-chirp-results") | ||
cd("linear-chirp-results") | ||
wavwrite(y, "linear_chirp.wav", Fs = rate) | ||
x = [ samples/7 <= t <= 8*samples/14 ? sin(2000*2*π*t/rate+1000*t/rate*2*π*t/rate) : 0. for t in 1:samples ] | ||
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## Short time Fourier transform | ||
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m =stft(x, 500, 450, fs = rate, window = hanning) | ||
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## smoothing | ||
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using ImageFiltering | ||
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λ=2 | ||
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@time SS = stft(y, 500, 450, fs = rate) | ||
M = STFT(0.01.*ComplexF64.(imfilter(abs.(m.stft),ImageFiltering.Kernel.gaussian((λ,2λ)))), m.freq, m.time, m.width) | ||
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@time Lm = lift(SS, threshold = 10, N=30) | ||
## Lift | ||
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KK=20 | ||
AA=110 | ||
BB=50 | ||
CC=250 | ||
Lm = lift(M; νMin=-0.5, νMax=1.5, N=100) | ||
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## WC evolution | ||
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τ = KK*step(time(Lm)) | ||
@time k = kernel_computation(normalize(freq(Lm)), slopes(Lm), τ, n = 20); | ||
χ = 20 | ||
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@time W = wc_delay(Lm, AA, BB, CC, K=k) | ||
α = 55 | ||
β = 1 | ||
γ = 55 | ||
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τ = χ * step(time(Lm)) | ||
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b = .05 | ||
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k = Kern(normalize(freq(Lm)), slopes(Lm), KernParams(τ, b, 1e-6)); | ||
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W = wc_delay(Lm, α, β, γ, K=k,τdx = χ) |> project | ||
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## Save results | ||
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try | ||
mkpath("linear-chirp-results") | ||
catch | ||
end | ||
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cd("linear-chirp-results") | ||
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save_result(W, AA, BB, CC, KK) | ||
save_result(M, W, α, β, γ, χ) | ||
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cd("..") |
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# Input sound | ||
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rate = 16000. | ||
duration = 2 | ||
samples = round(Int,duration*rate) | ||
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x = [ samples/7 <= t <= 8*samples/14 ? sin(3000*2*π*t/rate+2pi*150*sin(2*pi*t/rate)) : 0. for t in 1:samples ] | ||
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## Short time Fourier transform | ||
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m =stft(x, 500, 450, fs = rate, window = hanning) | ||
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## smoothing | ||
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using ImageFiltering | ||
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λ=2 | ||
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M = STFT(0.01.*ComplexF64.(imfilter(abs.(m.stft),ImageFiltering.Kernel.gaussian((λ,2λ)))), m.freq, m.time, m.width) | ||
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## Lift | ||
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Lm = lift(M; νMin=-1.5, νMax=1.5, N=100) | ||
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## WC evolution | ||
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χ = 20 | ||
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α = 53 | ||
β = 1 | ||
γ = 55 | ||
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τ = χ * step(time(Lm)) | ||
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b = .2 | ||
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k = Kern(normalize(freq(Lm)), slopes(Lm), KernParams(τ, b, 1e-6)); | ||
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W = wc_delay(Lm, α, β, γ, K=k,τdx = χ) |> project | ||
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## Save results | ||
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try | ||
mkpath("nonlinear-chirp-results") | ||
catch | ||
end | ||
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cd("nonlinear-chirp-results") | ||
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save_result(M, W, α, β, γ, χ) | ||
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cd("..") | ||
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using Dates | ||
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function save_result(m, α, β, γ, τdx; rate = 16000.) | ||
function save_result(m_in, m_out, α, β, γ, τdx; rate = 16000.) | ||
str = string(Dates.format(now(),"yyyy-mm-dd"), " at ", Dates.format(now(),"HH"),"h",Dates.format(now(),"MM")," - a=",α,", b=",β,", g=",γ,", tdx=",τdx) | ||
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save(string(str," - STFT.png"), show_stft(m)) | ||
save(string(str," - Wave.png"), show_istft(m)) | ||
save(string(str," - input - STFT.png"), show_stft(m_in)) | ||
save(string(str," - input - Wave.png"), show_istft(m_in)) | ||
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sound = istft(project(m)) | ||
sound = 2*(sound .- minimum(sound))/(maximum(sound)-minimum(sound)).-1 | ||
wavwrite(sound, string(str," - sound.wav"), Fs = rate) | ||
save(string(str," - output - STFT.png"), show_stft(m_out)) | ||
save(string(str," - output - Wave.png"), show_istft(m_out)) | ||
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normalize(sound) = 2*(sound .- minimum(sound))/(maximum(sound)-minimum(sound)).-1 | ||
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sound_in = istft(m_in) |> normalize | ||
wavwrite(sound_in, string(str," - input - sound.wav"), Fs = rate) | ||
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sound_out = istft(m_out) |> normalize | ||
wavwrite(sound_out, string(str," - output - sound.wav"), Fs = rate) | ||
end | ||
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using WAV | ||
using DSP.Windows | ||
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import Pkg | ||
Pkg.activate("../../WCA1") | ||
using WCA1 | ||
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# There is some kind of bug, for which we need to | ||
# precompile `WCA1` before loading `Images` | ||
using Images | ||
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# include("linear_chirp.jl") | ||
include("bars.jl") | ||
# TESTS | ||
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try | ||
mkpath("results") | ||
catch | ||
end | ||
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cd("results") | ||
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println("=== LINEAR CHIRP ===") | ||
include("linear_chirp.jl") | ||
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println("=== INTERRUPTED CHIRP ===") | ||
include("interrupted_chirp.jl") | ||
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println("=== INTERSECTING CHIRPS ===") | ||
include("intersecting_chirps.jl") | ||
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println("=== NON-LINEAR CHIRP ===") | ||
include("nonlinear_chirp.jl") | ||
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cd("..") |