diff options
| author | Jules Laplace <julescarbon@gmail.com> | 2018-06-06 00:59:39 +0200 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2018-06-06 00:59:39 +0200 |
| commit | d3fcd1212f7214b12b04a83d03dfb129c5fbb0a4 (patch) | |
| tree | b9cede8c8b245d5dc5d3ed23d8879e603af82809 /app/client/audio/lib/spectrum.js | |
| parent | 8c8e2e08d2ae89ba18ca05bab446e4642798dce2 (diff) | |
pix2wav paths
Diffstat (limited to 'app/client/audio/lib/spectrum.js')
| -rw-r--r-- | app/client/audio/lib/spectrum.js | 278 |
1 files changed, 278 insertions, 0 deletions
diff --git a/app/client/audio/lib/spectrum.js b/app/client/audio/lib/spectrum.js new file mode 100644 index 0000000..f4a5444 --- /dev/null +++ b/app/client/audio/lib/spectrum.js @@ -0,0 +1,278 @@ +import Tone from 'tone' + +import { shuffle, quantize, mod } from '../util' + +import { windows as signalWindows } from 'signal-windows' +import FFTJS from 'fft.js' + +const fft_size = 512 +const fft_overlap = fft_size / 4 + +const fft = new FFTJS(fft_size) + +function toSpectrum(pcm, sr){ + sr = sr || 44100 + const ham = signalWindows.construct('ham', fft_size) + const pcm_in = new Array(fft_size) + const pcm_length = pcm.length + const pcm_q_length = Math.ceil(pcm_length / fft_size) * fft_size + let i, j, fft_out, data = []; + for (i = -fft_size; i < pcm_q_length; i += fft_overlap) { + for (j = 0; j < fft_size; j++) { + pcm_in[j] = pcm[i+j] * ham[j] || 0 + } + fft_out = fft.createComplexArray() + fft.realTransform(fft_out, pcm_in) + fft.completeSpectrum(fft_out) + data.push(fft_out) + } + return { + data, + sr, + fft_size, + fft_overlap, + } +} + +function fromSpectrum(spec){ + const data = spec.data + const sr = spec.sr + const fft_size = spec.fft_size + const fft_overlap = spec.fft_overlap + const spec_len = data.length + + const ham = signalWindows.construct('ham', fft_size) + const out = fft.createComplexArray() + const pcm_length = fft_overlap * spec_len + + const audioBuffer = Tone.context.createBuffer(1, pcm_length, sr) + const pcm = audioBuffer.getChannelData(0); + + let i, j, u, col + + for (i = 0; i < spec_len; i++) { + col = data[i] + // for (j = fft_size; j < fft_size << 1; j++) { + // col[j] = 0 + // } + // if (i == 0) console.log(col) + fft.inverseTransform(out, col) + u = i * (fft_overlap) + for (j = 0; j < fft_size; j++) { + pcm[u+j] += out[j*2] * ham[j] || 0 + } + } + + fadeInOut(pcm, fft_size) + // console.log(pcm) + return audioBuffer +} + +function fromImageData(imageData, sr, _r, _i) { + const pixels = imageData.data + const w = imageData.width + const h = imageData.height + let data = new Array(w) + let x, y, u, v, v2 + for (y = 0; y < h; y++) { + let col = data[y] = new Float32Array(h * 4) + for (x = 0; x < w; x++) { + u = (x * (w) + y) * 4 + v = x * 2 + col[v] = (pixels[u] / 255 - 0.5) * _r + col[v+1] = (pixels[u+1] / 255 - 0.5) * _i + v2 = (h-y + h) * 2 + col[v2] = col[v] + col[v2+1] = 0 // col[v+1] + } + col[h*2] = col[h*2+1] = col[h*2-1] = col[h*2-2] = 0 + } + const spec = { + data, + sr, + fft_size, fft_overlap + } + return spec +} + +function binToHz(spec, i){ + return (i / spec.fft_size) * spec.sr +} + +function fadeInOut(pcm, fade_size){ + const pcm_length = pcm.length + let fade = 0, i + for (i = 0; i < fade_size; i++) { + fade = i / (fade_size) + fade *= fade + pcm[i] *= fade + pcm[pcm_length - i] *= fade + } +} +function rotatePhase(spec, theta){ + let { data, fft_size } = spec + let i, j, col, len = data.length + for (i = 0; i < len; i++) { + col = data[i] + for (j = 0; j < fft_size; j++) { + col[j*2+1] += theta + } + } + return spec +} + +function linearBins(spec, n){ + n = n || 1 + + let bins = [], i, q_i + for (q_i = 0; q_i < n; q_i++) { + bins[q_i] = [] + } + const step = Math.floor(spec.fft_size / n) + const len_quantize_n = quantize(spec.fft_size, n) + for (i = 0; i < len_quantize_n; i++) { + q_i = Math.floor(i/step) + bins[q_i] = bins[q_i] || [] + bins[q_i].push(i) + } + // leftover bins get put at end + for (; i < spec.fft_size; i++) { + bins[q_i].push(i) + } + return bins +} +function logarithmicBins(spec){ + let bins = [], i, j, q_i + let binCount = Math.log2(spec.fft_size) - 1 + for (i = 0, q_i = 0, j = 0; i < binCount; i++) { + j += 1 << i + bins[i] = [] + for (; q_i < j; q_i++) { + bins[i].push(q_i) + } + } + return bins +} +function concatBins(bins){ + return bins.reduce((acc, cv) => acc.concat(cv), []) +} +function reverseBins(bins){ + return bins.map( bin => bin.reverse() ) +} +function minBins(bins){ + return bins.map( bin => { + const b = bin[0] + return bin.map(() => b) + }) +} +function maxBins(bins){ + return bins.map( bin => { + const b = bin[bin.length-1] + return bin.map(() => b) + }) +} +function rotateSpectrum(spec, n){ + const { fft_size } = spec + if (n && n < 1) { + n -= 0.5 + n *= fft_size + } + n = Math.floor(n) + let order = new Array(fft_size), i + for (i = 0; i < fft_size; i++) { + order[i] = mod(i + n, fft_size/2) + } + return reorderBins(spec, order) +} +function cloneSpectrum(spec){ + const { + data, + fft_size, + sr, fft_overlap + } = spec + const spec_len = data.length + + let new_data = new Array(spec_len) + let i + for (i = 0; i < spec_len; i++) { + new_data[i] = data[i].concat() + new_data[i][2] = 0 + } + + return { + data: new_data, + fft_size, + sr, fft_overlap, + } +} +function reverseSpectrum(spec){ + let new_spec = cloneSpectrum(spec) + new_spec.data = new_spec.data.reverse() + return new_spec +} +function shuffleSpectrum(spec){ + const { fft_size } = spec + let order = new Array(fft_size), i + for (i = 0; i < fft_size; i++) { + order[i] = i + } + shuffle(order) + return reorderBins(spec, order) +} +function invertSpectrum(spec){ + const { fft_size } = spec + let order = new Array(fft_size), i + for (i = 0; i < fft_size; i++) { + order[i] = fft_size - i - 1 + } + return reorderBins(spec, order) +} +function reorderBins(spec, order){ + let new_spec = cloneSpectrum(spec) + const { + data, + sr, + fft_size, + fft_overlap, + } = spec + const spec_len = data.length + const { data: new_data } = new_spec + + let i, j, col, new_col + for (j = order.length; j < fft_size; j++) { + order[j] = j + } + + for (i = 0; i < spec_len; i++) { + col = data[i] + new_col = new_data[i] = data[i].concat() + col[0] = 0 + col[2] = 0 + col[4] = 0 + for (j = 0; j < fft_size/2; j++) { + new_col[j*2] = col[order[j]*2] + new_col[j*2+1] = col[order[j]*2+1] + } + for (; j < fft_size; j++) { + new_col[j*2] = 0 + new_col[j*2+1] = 0 + } + } + + return { + data: new_data, + sr, fft_size, fft_overlap, + } +} + +export default { + toSpectrum, fromSpectrum, fromImageData, binToHz, + fadeInOut, + cloneSpectrum, + reverseSpectrum, shuffleSpectrum, invertSpectrum, rotateSpectrum, + reorderBins, + linearBins, logarithmicBins, + concatBins, + reverseBins, minBins, maxBins, + rotatePhase, +} |
